(* Content-type: application/vnd.wolfram.mathematica *)

(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)

(* CreatedBy='Mathematica 8.0' *)

(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[       157,          7]
NotebookDataLength[    924050,      17547]
NotebookOptionsPosition[    914418,      17246]
NotebookOutlinePosition[    914773,      17262]
CellTagsIndexPosition[    914730,      17259]
WindowFrame->Normal*)

(* Beginning of Notebook Content *)
Notebook[{
Cell[BoxData[
 RowBox[{
  RowBox[{
   RowBox[{
    RowBox[{"f", "[", "x_", "]"}], ":=", 
    RowBox[{
     RowBox[{"(", 
      RowBox[{"1", "-", 
       RowBox[{
        RowBox[{"(", 
         RowBox[{
          RowBox[{"x", "^", "2"}], "-", "xmu2"}], ")"}], "/", 
        RowBox[{
         RowBox[{"(", 
          RowBox[{
           RowBox[{
            RowBox[{"(", 
             RowBox[{
              RowBox[{"x", " ", "x"}], "-", "xmu2"}], ")"}], "^", "2"}], "+", 
           "xdt2"}], ")"}], "^", 
         RowBox[{"(", 
          RowBox[{"1", "/", "2"}], ")"}]}]}]}], ")"}], "x", " ", "x"}]}], 
   ";"}], " "}]], "Input",
 CellChangeTimes->{{3.5260600106359253`*^9, 3.526060030565275*^9}, {
  3.526060119929186*^9, 3.5260601746213303`*^9}, {3.531540916626103*^9, 
  3.5315409251526585`*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"f", "[", "x", "]"}]], "Input",
 CellChangeTimes->{{3.5260601791951303`*^9, 3.526060180251607*^9}}],

Cell[BoxData[
 RowBox[{
  SuperscriptBox["x", "2"], " ", 
  RowBox[{"(", 
   RowBox[{"1", "-", 
    FractionBox[
     RowBox[{
      SuperscriptBox["x", "2"], "-", "xmu2"}], 
     SqrtBox[
      RowBox[{"xdt2", "+", 
       SuperscriptBox[
        RowBox[{"(", 
         RowBox[{
          SuperscriptBox["x", "2"], "-", "xmu2"}], ")"}], "2"]}]]]}], 
   ")"}]}]], "Output",
 CellChangeTimes->{3.5260601807531424`*^9, 3.526065921199457*^9, 
  3.531034306117773*^9, 3.53150835988802*^9, 3.531514919935175*^9, 
  3.531515238571678*^9, 3.5315153665705633`*^9, 3.531515507517727*^9, 
  3.5315166581457977`*^9, 3.531525592293906*^9, 3.531540849949444*^9, 
  3.5317707722316236`*^9, 3.531772951837881*^9, 3.531773114843216*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"NIntegrate", "[", 
  RowBox[{
   RowBox[{
    RowBox[{"f", "[", "x", "]"}], "/.", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"xmu2", "\[Rule]", "1"}], ",", 
      RowBox[{"xdt2", "\[Rule]", "0.0001"}]}], "}"}]}], ",", 
   RowBox[{"{", 
    RowBox[{"x", ",", "0", ",", "Infinity"}], "}"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.526060194626491*^9, 3.526060312969845*^9}}],

Cell[BoxData["0.6668463141816593`"], "Output",
 CellChangeTimes->{{3.526060246726622*^9, 3.526060270676283*^9}, {
   3.526060308724052*^9, 3.5260603137137737`*^9}, 3.526065921238645*^9, 
   3.531034306293067*^9, 3.5315083602379847`*^9, 3.531514919975675*^9, 
   3.531515238628574*^9, 3.531515366637205*^9, 3.531515507576105*^9, 
   3.5315166581835213`*^9, 3.531525592356742*^9, 3.531540850417445*^9, 
   3.5317707723869743`*^9, 3.5317729518747673`*^9, 3.53177311488236*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"N", "[", "%", "]"}]], "Input",
 CellChangeTimes->{{3.526060274962391*^9, 3.526060277230009*^9}}],

Cell[BoxData["0.6668463141816593`"], "Output",
 CellChangeTimes->{3.526060277719244*^9, 3.5260659212839613`*^9, 
  3.5310343063442*^9, 3.5315083602740517`*^9, 3.531514920022472*^9, 
  3.531515238677723*^9, 3.53151536673378*^9, 3.531515507623748*^9, 
  3.531516658233357*^9, 3.531525592461391*^9, 3.531540850433045*^9, 
  3.531770772436623*^9, 3.531772951931776*^9, 3.531773114931919*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"FindRoot", "[", 
  RowBox[{
   RowBox[{
    RowBox[{"NIntegrate", "[", 
     RowBox[{
      RowBox[{"(", 
       RowBox[{
        RowBox[{"f", "[", "x", "]"}], "/.", 
        RowBox[{"{", 
         RowBox[{"xmu2", "\[Rule]", "0.9"}], "}"}]}], ")"}], ",", 
      RowBox[{"{", 
       RowBox[{"x", ",", "0", ",", "Infinity"}], "}"}]}], "]"}], "\[Equal]", 
    RowBox[{"2", "/", "3"}]}], ",", 
   RowBox[{"{", 
    RowBox[{"xdt2", ",", "0.1"}], "}"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.5260603255218773`*^9, 3.52606036479672*^9}, {
  3.52606613882664*^9, 3.526066143649539*^9}, {3.526123993041198*^9, 
  3.526124006616928*^9}, {3.526124045502474*^9, 3.5261240877349167`*^9}, {
  3.5315456145554657`*^9, 3.5315456615583487`*^9}}],

Cell[BoxData[
 RowBox[{
  StyleBox[
   RowBox[{"NIntegrate", "::", "inumr"}], "MessageName"], 
  RowBox[{
  ":", " "}], "\<\"The integrand \[NoBreak]\\!\\(x\\^2\\\\ \\(\\((1 - \
\\(\\(\\(-0.9`\\)\\) + x\\^2\\)\\/\\@\\(\\((\\(\\(-0.9`\\)\\) + \
\\(\\(Power[\\(\\(\[LeftSkeleton] 2 \[RightSkeleton]\\)\\)]\\)\\))\\)\\^2 + \
xdt2\\))\\)\\)\\)\[NoBreak] has evaluated to non-numerical values for all \
sampling points in the region with boundaries \
\[NoBreak]\\!\\({\\({\[Infinity], 0.`}\\)}\\)\[NoBreak]. \
\\!\\(\\*ButtonBox[\\\"\[RightSkeleton]\\\", ButtonStyle->\\\"Link\\\", \
ButtonFrame->None, ButtonData:>\\\"paclet:ref/message/NIntegrate/inumr\\\", \
ButtonNote -> \\\"NIntegrate::inumr\\\"]\\)\"\>"}]], "Message", "MSG",
 CellChangeTimes->{{3.52606035716805*^9, 3.526060365975609*^9}, 
   3.526065921318459*^9, 3.5261240167612877`*^9, {3.52612404914902*^9, 
   3.5261240886176767`*^9}, 3.531034306412179*^9, 3.531508360313993*^9, 
   3.5315149200813217`*^9, 3.531515238744031*^9, 3.5315153668351307`*^9, 
   3.531515507682282*^9, 3.531516658305241*^9, 3.531525592548173*^9, 
   3.5315408507138453`*^9, 3.5315456359119034`*^9, 3.5315456668623576`*^9, 
   3.531770772505105*^9, 3.531772951992627*^9, 3.53177311498275*^9}],

Cell[BoxData[
 RowBox[{
  StyleBox[
   RowBox[{"FindRoot", "::", "jsing"}], "MessageName"], 
  RowBox[{
  ":", " "}], "\<\"Encountered a singular Jacobian at the point \[NoBreak]\\!\
\\({xdt2}\\)\[NoBreak] = \[NoBreak]\\!\\({0.1`}\\)\[NoBreak]. Try perturbing \
the initial point(s). \\!\\(\\*ButtonBox[\\\"\[RightSkeleton]\\\", \
ButtonStyle->\\\"Link\\\", ButtonFrame->None, \
ButtonData:>\\\"paclet:ref/message/FindRoot/jsing\\\", ButtonNote -> \
\\\"FindRoot::jsing\\\"]\\)\"\>"}]], "Message", "MSG",
 CellChangeTimes->{{3.52606035716805*^9, 3.526060365975609*^9}, 
   3.526065921318459*^9, 3.5261240167612877`*^9, {3.52612404914902*^9, 
   3.5261240886176767`*^9}, 3.531034306412179*^9, 3.531508360313993*^9, 
   3.5315149200813217`*^9, 3.531515238744031*^9, 3.5315153668351307`*^9, 
   3.531515507682282*^9, 3.531516658305241*^9, 3.531525592548173*^9, 
   3.5315408507138453`*^9, 3.5315456359119034`*^9, 3.5315456668623576`*^9, 
   3.531770772505105*^9, 3.531772951992627*^9, 3.531773114986966*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"xdt2", "\[Rule]", "0.1`"}], "}"}]], "Output",
 CellChangeTimes->{{3.526060358753615*^9, 3.526060367519753*^9}, 
   3.526065922822657*^9, 3.5261240183756027`*^9, {3.5261240503368587`*^9, 
   3.526124089073203*^9}, 3.531034307065035*^9, 3.53150836088233*^9, 
   3.531514920518318*^9, 3.531515239169112*^9, 3.531515367290596*^9, 
   3.531515508123513*^9, 3.531516658766534*^9, 3.531525592960622*^9, 
   3.531540851603047*^9, 3.531545636099104*^9, 3.5315456668779573`*^9, 
   3.5317707726610126`*^9, 3.5317729519999228`*^9, 3.531773114990136*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Plot", "[", 
  RowBox[{
   RowBox[{
    RowBox[{"NIntegrate", "[", 
     RowBox[{
      RowBox[{"(", 
       RowBox[{
        RowBox[{"f", "[", "x", "]"}], "/.", 
        RowBox[{"{", 
         RowBox[{"xmu2", "\[Rule]", "0.9999"}], "}"}]}], ")"}], ",", 
      RowBox[{"{", 
       RowBox[{"x", ",", "0", ",", "Infinity"}], "}"}]}], "]"}], "-", 
    RowBox[{"2", "/", "3"}]}], ",", 
   RowBox[{"{", 
    RowBox[{"xdt2", ",", "0.0000533338", ",", "0.000053334"}], "}"}]}], 
  "]"}]], "Input",
 CellChangeTimes->{{3.526060378099799*^9, 3.5260604018590727`*^9}, {
   3.526061239490176*^9, 3.526061282323626*^9}, {3.526061320930408*^9, 
   3.5260615661455307`*^9}, {3.526061602895748*^9, 3.52606165871286*^9}, {
   3.526061701234704*^9, 3.5260620549884853`*^9}, {3.526066029231843*^9, 
   3.526066103312092*^9}, {3.5260661486340523`*^9, 3.5260662041069527`*^9}, {
   3.526066455926421*^9, 3.526066495350909*^9}, {3.526066561712495*^9, 
   3.5260665904084806`*^9}, 3.526066628180792*^9, {3.5260666812727013`*^9, 
   3.5260666936788054`*^9}, {3.526066791415505*^9, 3.526066825195382*^9}, {
   3.526067190122346*^9, 3.5260672630591307`*^9}, {3.5274337850376787`*^9, 
   3.527433839156776*^9}, {3.531514407098022*^9, 3.5315146612696047`*^9}, {
   3.5315147098233747`*^9, 3.531514851937611*^9}, {3.531514988486033*^9, 
   3.531515000300336*^9}, {3.531515096550702*^9, 3.5315151917355137`*^9}, {
   3.531515269249341*^9, 3.531515337474275*^9}, {3.531515434532647*^9, 
   3.531515484181665*^9}, {3.531525323973303*^9, 3.5315254322014713`*^9}, {
   3.531525469458054*^9, 3.531525519898403*^9}, {3.531525553344112*^9, 
   3.531525567434997*^9}}],

Cell[BoxData[
 GraphicsBox[{{}, {}, 
   {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJw90FtI0wEUBvBloegYrVApsLJhDxHlCp2ZnUYtIklq9TIvm4TNWEl5ayJU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     "]]}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesOrigin->{0.000053333799999999994`, 0},
  PlotRange->{{0.0000533338, 0.000053334}, {-1.2854162179110062`*^-10, 
   2.169031620979922*^-10}},
  PlotRangeClipping->True,
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02]}]], "Output",
 CellChangeTimes->{
  3.526060403039398*^9, {3.52606124125329*^9, 3.526061283908389*^9}, {
   3.5260613223957376`*^9, 3.526061429385654*^9}, {3.52606145998886*^9, 
   3.526061486191785*^9}, {3.5260615201676273`*^9, 3.5260615670110493`*^9}, {
   3.5260616098148413`*^9, 3.526061659589629*^9}, {3.526061702526964*^9, 
   3.526062055803174*^9}, 3.526065923305835*^9, {3.526066040621976*^9, 
   3.526066073558444*^9}, 3.526066104271432*^9, {3.526066149783826*^9, 
   3.5260662049094553`*^9}, {3.5260664569267073`*^9, 3.526066496462846*^9}, {
   3.526066583180682*^9, 3.52606659149934*^9}, {3.526066675136599*^9, 
   3.526066695634404*^9}, {3.526066805317479*^9, 3.526066825980969*^9}, {
   3.526067204116578*^9, 3.526067263901087*^9}, {3.527433809151154*^9, 
   3.5274338402530203`*^9}, 3.531034307884013*^9, 3.531508361446188*^9, {
   3.531514408665317*^9, 3.531514415982547*^9}, {3.531514448010523*^9, 
   3.531514633804471*^9}, {3.531514719762918*^9, 3.5315148530626163`*^9}, 
   3.53151492089279*^9, {3.531514974794929*^9, 3.531515001181282*^9}, {
   3.531515108738234*^9, 3.531515162404409*^9}, 3.531515192605145*^9, 
   3.531515239525793*^9, {3.531515286744299*^9, 3.531515368112565*^9}, {
   3.531515444933259*^9, 3.531515508661778*^9}, 3.5315166592711678`*^9, {
   3.531525344093011*^9, 3.5315254352593*^9}, {3.531525470459042*^9, 
   3.531525520874481*^9}, {3.531525568297576*^9, 3.531525593295273*^9}, 
   3.53154085231326*^9, 3.5317707730720673`*^9, 3.5317729523219433`*^9, 
   3.5317731153133173`*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"N", "[", 
  RowBox[{"8", 
   RowBox[{
    RowBox[{"Pi", "^", "3"}], "/", "3"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.526060416282098*^9, 3.526060433178145*^9}}],

Cell[BoxData["82.68340448079951`"], "Output",
 CellChangeTimes->{3.526060433731791*^9, 3.526065923351986*^9, 
  3.531034307941072*^9, 3.531508361490399*^9, 3.5315149209682903`*^9, 
  3.5315152395750113`*^9, 3.531515368372171*^9, 3.531515508881424*^9, 
  3.531516659717609*^9, 3.531525593416973*^9, 3.531540852348262*^9, 
  3.5317707731222486`*^9, 3.531772952375454*^9, 3.5317731153659763`*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Plot", "[", 
  RowBox[{
   RowBox[{
    RowBox[{"f", "[", "x", "]"}], "/.", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"xmu2", "\[Rule]", "0.99"}], ",", 
      RowBox[{"xdt2", "\[Rule]", "0.1"}]}], "}"}]}], ",", 
   RowBox[{"{", 
    RowBox[{"x", ",", "0", ",", "10"}], "}"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.526060508927796*^9, 3.526060539171085*^9}}],

Cell[BoxData[
 GraphicsBox[{{}, {}, 
   {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwBgQJ+/SFib1JlAgAAACcAAAACAAAAnX5iBjFkiz7svZDe/uM2PcTTIExX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     "]], LineBox[CompressedData["
1:eJwVjHc8FYrfgJ3Dkb2SqxJyCpFylbdS1/d7iMrKLCtybLIyMrJnJOQYmZkl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     "]]}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesOrigin->{0, 0},
  PlotRange->{{0, 10}, {0., 0.06879254566621554}},
  PlotRangeClipping->True,
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02]}]], "Output",
 CellChangeTimes->{3.526060539578701*^9, 3.526065923420841*^9, 
  3.531034307988317*^9, 3.531508361526122*^9, 3.531514921022081*^9, 
  3.5315152396569557`*^9, 3.531515368473042*^9, 3.531515508978532*^9, 
  3.531516660572172*^9, 3.531525593474905*^9, 3.531540852405265*^9, 
  3.53177077326608*^9, 3.5317729524316053`*^9, 3.531773115469678*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"muDtL", "=", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"0.9999", ",", "0.00005333385"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"0.999", ",", "0.00064"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"0.99", ",", "0.0079665"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"0.97", ",", "0.0269707"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"0.95", ",", "0.0476463"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"0.94", ",", "0.05837507"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"0.93", ",", "0.0693001"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"0.9", ",", "0.10298"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"0.8", ",", "0.2205"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"0.7", ",", "0.34"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"0.6", ",", "0.46005"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"0.5", ",", ".577"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{".3", ",", ".8005"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{".1", ",", "1.01"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"0", ",", "1.107"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", "0.1"}], ",", "1.2"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", "0.3"}], ",", "1.38"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", ".5"}], ",", "1.545"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", ".7"}], ",", "1.7"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", ".9"}], ",", "1.854"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", "1"}], ",", "1.915"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", "1.5"}], ",", "2.24"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", "2"}], ",", "2.525"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", "2.5"}], ",", "2.785"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", "3"}], ",", "3.02"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", "4"}], ",", "3.46"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", "5"}], ",", "3.85"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", "6"}], ",", "4.2"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", "8"}], ",", "4.85"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", "10"}], ",", "5.395"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", "15"}], ",", "6.593"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", "20"}], ",", "7.6056"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", "30"}], ",", "9.307"}], "}"}]}], "}"}]}]], "Input",
 CellChangeTimes->{{3.526064126654025*^9, 3.5260643583874598`*^9}, {
   3.5260661311031027`*^9, 3.52606613176437*^9}, {3.526066233410164*^9, 
   3.526066242546425*^9}, {3.526066524161951*^9, 3.5260665264984713`*^9}, 
   3.526066615728485*^9, {3.526066736363199*^9, 3.526066738567308*^9}, {
   3.5260668370812187`*^9, 3.526066846838756*^9}, {3.526067288629945*^9, 
   3.5260672979258432`*^9}, {3.527433856441318*^9, 3.527433871433175*^9}, {
   3.531514651650352*^9, 3.531514652089594*^9}, {3.531514866148806*^9, 
   3.5315148743251143`*^9}, {3.531515086354322*^9, 3.5315150908414917`*^9}, {
   3.531515203499852*^9, 3.5315152285393744`*^9}, {3.531515260981667*^9, 
   3.531515265372295*^9}, {3.5315153517346487`*^9, 3.531515360663176*^9}, {
   3.5315154959545794`*^9, 3.531515503058093*^9}, {3.531525310940016*^9, 
   3.531525316082432*^9}, {3.531525446989133*^9, 3.531525453710381*^9}, {
   3.5315255397113543`*^9, 3.531525542702978*^9}, {3.5315255859757757`*^9, 
   3.531525586311764*^9}, {3.5317728831513653`*^9, 3.531772947690556*^9}, {
   3.531773081376307*^9, 3.531773109339308*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"0.9999`", ",", "0.00005333385`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.999`", ",", "0.00064`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.99`", ",", "0.0079665`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.97`", ",", "0.0269707`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.95`", ",", "0.0476463`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.94`", ",", "0.05837507`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.93`", ",", "0.0693001`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.9`", ",", "0.10298`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.8`", ",", "0.2205`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.7`", ",", "0.34`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.6`", ",", "0.46005`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.5`", ",", "0.577`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.3`", ",", "0.8005`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.1`", ",", "1.01`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0", ",", "1.107`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.1`"}], ",", "1.2`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.3`"}], ",", "1.38`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.5`"}], ",", "1.545`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.7`"}], ",", "1.7`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.9`"}], ",", "1.854`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "1"}], ",", "1.915`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "1.5`"}], ",", "2.24`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "2"}], ",", "2.525`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "2.5`"}], ",", "2.785`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "3"}], ",", "3.02`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "4"}], ",", "3.46`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "5"}], ",", "3.85`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "6"}], ",", "4.2`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "8"}], ",", "4.85`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "10"}], ",", "5.395`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "15"}], ",", "6.593`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "20"}], ",", "7.6056`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "30"}], ",", "9.307`"}], "}"}]}], "}"}]], "Output",
 CellChangeTimes->{
  3.526064348012787*^9, 3.5260644721830387`*^9, 3.526065923506166*^9, 
   3.5260662430218563`*^9, 3.5260665274970512`*^9, 3.526066637957608*^9, 
   3.526066740997106*^9, 3.526066849137599*^9, 3.526067298769973*^9, 
   3.527433872500721*^9, 3.5310343080601053`*^9, 3.531508361576009*^9, 
   3.531514875965741*^9, 3.531514921073535*^9, 3.531515239710059*^9, {
   3.5315153619118843`*^9, 3.531515368608086*^9}, 3.531515509065524*^9, 
   3.531516660814074*^9, 3.531525593554551*^9, 3.531540852435267*^9, 
   3.531770773324391*^9, 3.531772917961609*^9, {3.5317729485038557`*^9, 
   3.5317729524794064`*^9}, {3.53177311020787*^9, 3.531773115633205*^9}}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"ListPlot", "[", "muDtL", "]"}]], "Input",
 CellChangeTimes->{{3.52606434880925*^9, 3.526064375942917*^9}, {
  3.52606440810711*^9, 3.5260644189758883`*^9}, {3.526064461426799*^9, 
  3.5260644620006104`*^9}}],

Cell[BoxData[
 GraphicsBox[
  {Hue[0.67, 0.6, 0.6], PointBox[CompressedData["
1:eJxTTMoPSmViYGBQBGIQLbf8hYfe//f2H2WvKkZ+47bXbhe7ee47kJ/xuGPr
Dxf7de4Pq0TWvbdvz97avjegwZ7r+uICW6739jEcZzlN5822TwODd/Z3GHs7
JFJX2IuANbyzv1IpFRj2eK394a8aMf2H3torccnsX7Z3o/3ZMyDwxj46XmXL
05hd9rNmgsBL+8u+SQIRlmeg5j2D6rtqbwwGj+2Dpyn2lRbetWcAgwf2QMVb
TpQ9gspftmcJ49PdNPcl1Lyd9ppA3V81PkDVMzA0Hzi10HXbR5j8foi+zzD9
+yHu/gYzf/8OudbXgTt+wNwDVf8b5v79Lt05z3+v/AtV/2H/EmCoXF/8D8r/
sf9NIMgERgeo9Qcg+lmgfJYDHqBgdWeD8jkOQNzLAeULHICEOzeUL3IAYi8f
lC8B5QtA+QoHIO4UhvJVDoD9M0UUytc7sEYmKsU6XgrKNzkw9QpnhlKOHJRv
d6B833wp/blKDgCph83o
    "]]},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  PlotRange->Automatic,
  PlotRangeClipping->True]], "Output",
 CellChangeTimes->{
  3.52606437640088*^9, {3.5260644140931*^9, 3.526064419481208*^9}, {
   3.5260644624434433`*^9, 3.526064474234165*^9}, 3.52606592358782*^9, 
   3.526066245673868*^9, 3.5310343081048517`*^9, 3.5315083616272087`*^9, 
   3.53151492111932*^9, 3.5315152397596893`*^9, 3.5315153688087387`*^9, 
   3.5315155091634483`*^9, 3.531516660851006*^9, 3.531525593612378*^9, 
   3.5315408525182714`*^9, 3.531770773369254*^9, 3.531772952526909*^9, 
   3.5317731157654123`*^9}]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"f1", "[", "x_", "]"}], ":=", 
  RowBox[{
   RowBox[{
    RowBox[{"(", 
     RowBox[{"x", " ", "x"}], ")"}], "/", 
    RowBox[{
     RowBox[{"(", 
      RowBox[{
       RowBox[{
        RowBox[{"(", 
         RowBox[{
          RowBox[{"x", " ", "x"}], "-", "xmu2"}], ")"}], "^", "2"}], "+", 
       "xdt4"}], ")"}], "^", 
     RowBox[{"(", 
      RowBox[{"1", "/", "2"}], ")"}]}]}], "-", "1"}]}]], "Input",
 CellChangeTimes->{{3.5260645030569267`*^9, 3.5260645622482967`*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"f1", "[", "x", "]"}]], "Input",
 CellChangeTimes->{{3.526064563825303*^9, 3.526064565694845*^9}}],

Cell[BoxData[
 RowBox[{
  RowBox[{"-", "1"}], "+", 
  FractionBox[
   SuperscriptBox["x", "2"], 
   SqrtBox[
    RowBox[{"xdt4", "+", 
     SuperscriptBox[
      RowBox[{"(", 
       RowBox[{
        SuperscriptBox["x", "2"], "-", "xmu2"}], ")"}], "2"]}]]]}]], "Output",\

 CellChangeTimes->{3.526064566179247*^9, 3.52606592372188*^9, 
  3.5310343082668447`*^9, 3.531508361705632*^9, 3.531514921200767*^9, 
  3.531515239838241*^9, 3.5315153689472933`*^9, 3.5315155092520933`*^9, 
  3.5315166609305677`*^9, 3.531525593766911*^9, 3.5315408525522738`*^9, 
  3.531770773449079*^9, 3.5317729526046953`*^9, 3.531773115995555*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"f1", "[", "x", "]"}], "mu", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{"xmu2", "\[Rule]", "1"}], ",", 
    RowBox[{"xdt4", "\[Rule]", "2"}]}], "}"}]}]], "Input",
 CellChangeTimes->{{3.526064577119475*^9, 3.52606463231254*^9}, {
  3.526064663803631*^9, 3.5260646640412292`*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"mu", " ", 
    RowBox[{"(", 
     RowBox[{
      RowBox[{"-", "1"}], "+", 
      FractionBox[
       SuperscriptBox["x", "2"], 
       SqrtBox[
        RowBox[{"xdt4", "+", 
         SuperscriptBox[
          RowBox[{"(", 
           RowBox[{
            SuperscriptBox["x", "2"], "-", "xmu2"}], ")"}], "2"]}]]]}], ")"}],
     " ", 
    RowBox[{"(", 
     RowBox[{"xmu2", "\[Rule]", "1"}], ")"}]}], ",", 
   RowBox[{"mu", " ", 
    RowBox[{"(", 
     RowBox[{
      RowBox[{"-", "1"}], "+", 
      FractionBox[
       SuperscriptBox["x", "2"], 
       SqrtBox[
        RowBox[{"xdt4", "+", 
         SuperscriptBox[
          RowBox[{"(", 
           RowBox[{
            SuperscriptBox["x", "2"], "-", "xmu2"}], ")"}], "2"]}]]]}], ")"}],
     " ", 
    RowBox[{"(", 
     RowBox[{"xdt4", "\[Rule]", "2"}], ")"}]}]}], "}"}]], "Output",
 CellChangeTimes->{{3.5260645983230143`*^9, 3.526064632802609*^9}, 
   3.526065923788906*^9, 3.527433882693472*^9, 3.53103430832596*^9, 
   3.531508361746502*^9, 3.531514921253058*^9, 3.5315152398924313`*^9, 
   3.531515368991589*^9, 3.531515509309882*^9, 3.531516660983971*^9, 
   3.531525593825428*^9, 3.531540852578275*^9, 3.5317707734900637`*^9, 
   3.531772952641428*^9, 3.5317731160823298`*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{
  RowBox[{"length", "=", 
   RowBox[{"Length", "[", "muDtL", "]"}]}], ";", 
  RowBox[{"intact", "=", 
   RowBox[{"{", "}"}]}], ";"}], "\[IndentingNewLine]", 
 RowBox[{"For", "[", 
  RowBox[{
   RowBox[{"i", "=", "1"}], ",", 
   RowBox[{"i", "\[LessEqual]", "length"}], ",", 
   RowBox[{"i", "++"}], ",", "\[IndentingNewLine]", 
   RowBox[{
    RowBox[{"strength", "=", 
     RowBox[{
      RowBox[{"2", "/", "Pi"}], " ", 
      RowBox[{"NIntegrate", "[", 
       RowBox[{
        RowBox[{
         RowBox[{"f1", "[", "x", "]"}], "/.", 
         RowBox[{"{", 
          RowBox[{
           RowBox[{"xmu2", "\[Rule]", 
            RowBox[{"muDtL", "[", 
             RowBox[{"[", 
              RowBox[{"i", ",", "1"}], "]"}], "]"}]}], ",", 
           RowBox[{"xdt4", "\[Rule]", 
            RowBox[{"muDtL", "[", 
             RowBox[{"[", 
              RowBox[{"i", ",", "2"}], "]"}], "]"}]}]}], "}"}]}], ",", 
        RowBox[{"{", 
         RowBox[{"x", ",", "0", ",", "Infinity"}], "}"}]}], "]"}]}]}], ";", 
    RowBox[{"intact", "=", 
     RowBox[{"Append", "[", 
      RowBox[{"intact", ",", "strength"}], "]"}]}]}]}], "]"}]}], "Input",
 CellChangeTimes->{{3.526064947700574*^9, 3.526065043617503*^9}, {
   3.526065092028017*^9, 3.5260652610201817`*^9}, 3.526066400776876*^9}],

Cell[BoxData[
 RowBox[{
  StyleBox[
   RowBox[{"NIntegrate", "::", "ncvb"}], "MessageName"], 
  RowBox[{
  ":", " "}], "\<\"NIntegrate failed to converge to prescribed accuracy after \
\[NoBreak]\\!\\(9\\)\[NoBreak] recursive bisections in \[NoBreak]\\!\\(x\\)\
\[NoBreak] near \[NoBreak]\\!\\({x}\\)\[NoBreak] = \
\[NoBreak]\\!\\({0.9922795844594885`}\\)\[NoBreak]. NIntegrate obtained \
\[NoBreak]\\!\\(4.998581260403124`\\)\[NoBreak] and \
\[NoBreak]\\!\\(0.00001220244452991917`\\)\[NoBreak] for the integral and \
error estimates. \\!\\(\\*ButtonBox[\\\"\[RightSkeleton]\\\", ButtonStyle->\\\
\"Link\\\", ButtonFrame->None, \
ButtonData:>\\\"paclet:ref/message/NIntegrate/ncvb\\\", ButtonNote -> \
\\\"NIntegrate::ncvb\\\"]\\)\"\>"}]], "Message", "MSG",
 CellChangeTimes->{3.531525593883654*^9, 3.531540852677281*^9, 
  3.5317707735658007`*^9, 3.531772952695093*^9, 3.531773116215642*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData["intact"], "Input",
 CellChangeTimes->{{3.52606526770739*^9, 3.526065268619553*^9}, {
  3.527473360824627*^9, 3.527473362063723*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
  "3.182195664158695`", ",", "2.389727073818724`", ",", "1.5755994625201821`",
    ",", "1.1665750646114639`", ",", "0.9670237967051027`", ",", 
   "0.8937116609318552`", ",", "0.8307074069039544`", ",", "0.6807211970918`",
    ",", "0.3674519559263194`", ",", "0.16663792968994512`", ",", 
   "0.012802444720049787`", ",", 
   RowBox[{"-", "0.11323501921782865`"}], ",", 
   RowBox[{"-", "0.316810843312075`"}], ",", 
   RowBox[{"-", "0.4811818237088723`"}], ",", 
   RowBox[{"-", "0.5532350448206019`"}], ",", 
   RowBox[{"-", "0.6202861418725278`"}], ",", 
   RowBox[{"-", "0.7427878267280813`"}], ",", 
   RowBox[{"-", "0.8524786400710433`"}], ",", 
   RowBox[{"-", "0.9525469043855441`"}], ",", 
   RowBox[{"-", "1.045242010871317`"}], ",", 
   RowBox[{"-", "1.0886456715982042`"}], ",", 
   RowBox[{"-", "1.2882425718671637`"}], ",", 
   RowBox[{"-", "1.4634561141928935`"}], ",", 
   RowBox[{"-", "1.6212966672670608`"}], ",", 
   RowBox[{"-", "1.7658734136732284`"}], ",", 
   RowBox[{"-", "2.0257770496235943`"}], ",", 
   RowBox[{"-", "2.2568615517946418`"}], ",", 
   RowBox[{"-", "2.466885637702143`"}], ",", 
   RowBox[{"-", "2.841593117861359`"}], ",", 
   RowBox[{"-", "3.17280872857885`"}], ",", 
   RowBox[{"-", "3.8800281870844184`"}], ",", 
   RowBox[{"-", "4.477427040611661`"}], ",", 
   RowBox[{"-", "5.480757071056478`"}]}], "}"}]], "Output",
 CellChangeTimes->{3.5260652691934643`*^9, 3.526065923983498*^9, 
  3.527473362946957*^9, 3.531034308490354*^9, 3.53150836187893*^9, 
  3.531514921401029*^9, 3.531515240026922*^9, 3.5315153691480427`*^9, 
  3.531515509526249*^9, 3.531516661281521*^9, 3.531525594011792*^9, 
  3.5315408528672915`*^9, 3.5317707736995897`*^9, 3.531772952805678*^9, 
  3.5317731164990473`*^9}]
}, Open  ]],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.527473297103622*^9, 3.5274733190216627`*^9}}],

Cell[BoxData[
 RowBox[{
  RowBox[{"muL", "=", 
   RowBox[{
    RowBox[{"Transpose", "[", "muDtL", "]"}], "[", 
    RowBox[{"[", "1", "]"}], "]"}]}], ";", 
  RowBox[{"dtL", "=", 
   RowBox[{
    RowBox[{
     RowBox[{"Transpose", "[", "muDtL", "]"}], "[", 
     RowBox[{"[", "2", "]"}], "]"}], "^", 
    RowBox[{"(", 
     RowBox[{"1", "/", "2"}], ")"}]}]}], ";"}]], "Input",
 CellChangeTimes->{{3.526065508212187*^9, 3.526065597088436*^9}, {
  3.52606575404113*^9, 3.526065763825851*^9}}],

Cell[CellGroupData[{

Cell[BoxData["muL"], "Input",
 CellChangeTimes->{{3.5260657256629553`*^9, 3.5260657270307827`*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
  "0.9999`", ",", "0.999`", ",", "0.99`", ",", "0.97`", ",", "0.95`", ",", 
   "0.94`", ",", "0.93`", ",", "0.9`", ",", "0.8`", ",", "0.7`", ",", "0.6`", 
   ",", "0.5`", ",", "0.3`", ",", "0.1`", ",", "0", ",", 
   RowBox[{"-", "0.1`"}], ",", 
   RowBox[{"-", "0.3`"}], ",", 
   RowBox[{"-", "0.5`"}], ",", 
   RowBox[{"-", "0.7`"}], ",", 
   RowBox[{"-", "0.9`"}], ",", 
   RowBox[{"-", "1"}], ",", 
   RowBox[{"-", "1.5`"}], ",", 
   RowBox[{"-", "2"}], ",", 
   RowBox[{"-", "2.5`"}], ",", 
   RowBox[{"-", "3"}], ",", 
   RowBox[{"-", "4"}], ",", 
   RowBox[{"-", "5"}], ",", 
   RowBox[{"-", "6"}], ",", 
   RowBox[{"-", "8"}], ",", 
   RowBox[{"-", "10"}], ",", 
   RowBox[{"-", "15"}], ",", 
   RowBox[{"-", "20"}], ",", 
   RowBox[{"-", "30"}]}], "}"}]], "Output",
 CellChangeTimes->{3.526065727717103*^9, 3.5260659240496492`*^9, 
  3.5310343085843067`*^9, 3.531508362021617*^9, 3.5315149215008793`*^9, 
  3.5315152401386137`*^9, 3.531515369250366*^9, 3.531515509863502*^9, 
  3.531516661380569*^9, 3.5315255942874603`*^9, 3.5315408529072943`*^9, 
  3.531770773891794*^9, 3.531772952922378*^9, 3.531773116749374*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Transpose", "[", 
  RowBox[{"{", 
   RowBox[{"intact", ",", "muL"}], "}"}], "]"}]], "Input",
 CellChangeTimes->{{3.5260664175080967`*^9, 3.526066430890511*^9}, {
  3.526067394717483*^9, 3.52606739525111*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"3.182195664158695`", ",", "0.9999`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"2.389727073818724`", ",", "0.999`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"1.5755994625201821`", ",", "0.99`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"1.1665750646114639`", ",", "0.97`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.9670237967051027`", ",", "0.95`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.8937116609318552`", ",", "0.94`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.8307074069039544`", ",", "0.93`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.6807211970918`", ",", "0.9`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.3674519559263194`", ",", "0.8`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.16663792968994512`", ",", "0.7`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.012802444720049787`", ",", "0.6`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.11323501921782865`"}], ",", "0.5`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.316810843312075`"}], ",", "0.3`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.4811818237088723`"}], ",", "0.1`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.5532350448206019`"}], ",", "0"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.6202861418725278`"}], ",", 
     RowBox[{"-", "0.1`"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.7427878267280813`"}], ",", 
     RowBox[{"-", "0.3`"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.8524786400710433`"}], ",", 
     RowBox[{"-", "0.5`"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.9525469043855441`"}], ",", 
     RowBox[{"-", "0.7`"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "1.045242010871317`"}], ",", 
     RowBox[{"-", "0.9`"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "1.0886456715982042`"}], ",", 
     RowBox[{"-", "1"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "1.2882425718671637`"}], ",", 
     RowBox[{"-", "1.5`"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "1.4634561141928935`"}], ",", 
     RowBox[{"-", "2"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "1.6212966672670608`"}], ",", 
     RowBox[{"-", "2.5`"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "1.7658734136732284`"}], ",", 
     RowBox[{"-", "3"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "2.0257770496235943`"}], ",", 
     RowBox[{"-", "4"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "2.2568615517946418`"}], ",", 
     RowBox[{"-", "5"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "2.466885637702143`"}], ",", 
     RowBox[{"-", "6"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "2.841593117861359`"}], ",", 
     RowBox[{"-", "8"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "3.17280872857885`"}], ",", 
     RowBox[{"-", "10"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "3.8800281870844184`"}], ",", 
     RowBox[{"-", "15"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "4.477427040611661`"}], ",", 
     RowBox[{"-", "20"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "5.480757071056478`"}], ",", 
     RowBox[{"-", "30"}]}], "}"}]}], "}"}]], "Output",
 CellChangeTimes->{
  3.526065695641549*^9, 3.5260657685856457`*^9, 3.526065924086692*^9, {
   3.526066426597969*^9, 3.526066431398734*^9}, 3.526067395802092*^9, {
   3.527433894253202*^9, 3.527433899706579*^9}, 3.531034308624764*^9, 
   3.531508362059376*^9, 3.53151492153963*^9, 3.531515240178336*^9, 
   3.531515369287383*^9, 3.531515509898551*^9, 3.531516661418797*^9, 
   3.5315255943879433`*^9, 3.5315408529332952`*^9, 3.531770774035836*^9, 
   3.5317729529793797`*^9, 3.53177311678328*^9}]
}, Open  ]],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.531540934325195*^9, 3.531540935557597*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"muPlot", "=", 
  RowBox[{"ListLinePlot", "[", 
   RowBox[{
    RowBox[{"Transpose", "[", 
     RowBox[{"{", 
      RowBox[{"intact", ",", " ", "muL"}], "}"}], "]"}], ",", 
    RowBox[{"PlotStyle", "\[Rule]", "Dashed"}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.526065276665024*^9, 3.526065287988055*^9}, {
  3.526065338264193*^9, 3.526065346349772*^9}, {3.526065459615362*^9, 
  3.526065466909357*^9}, {3.5260656033280354`*^9, 3.526065603927883*^9}, {
  3.526065643833025*^9, 3.5260656480801153`*^9}, {3.5260657925239573`*^9, 
  3.526065796055614*^9}, {3.526065835683144*^9, 3.5260658602888107`*^9}, {
  3.526065973070038*^9, 3.526065973627006*^9}, {3.5315259181780367`*^9, 
  3.5315259239458313`*^9}}],

Cell[BoxData[
 GraphicsBox[{{}, {}, 
   {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJxTTMoPSmViYGBQAGIQfdNNgkG5lNNBbvkLD73/7+1zwpKtNOWYHbTbxW6e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     "]]}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesOrigin->{0, 0},
  PlotRange->{{-5.480757071056478, 3.182195664158695}, {-16.41, 0.9999}},
  PlotRangeClipping->True,
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02]}]], "Output",
 CellChangeTimes->{
  3.526065288433383*^9, 3.526065347827078*^9, 3.52606546746205*^9, 
   3.526065604462079*^9, 3.5260656491004343`*^9, 3.526065796407929*^9, {
   3.526065843855875*^9, 3.526065861529092*^9}, 3.526065924116873*^9, 
   3.526065982718104*^9, 3.526066266073867*^9, 3.526066540407448*^9, 
   3.526066651571011*^9, 3.5260667618281593`*^9, 3.526066881013503*^9, {
   3.526067307698175*^9, 3.526067313131671*^9}, 3.527433907462682*^9, 
   3.531034308672237*^9, 3.531508362096567*^9, 3.53151492158945*^9, 
   3.5315152402277613`*^9, 3.531515369339038*^9, 3.53151550994136*^9, 
   3.53151666146677*^9, 3.531525594512052*^9, 3.5315259246823187`*^9, 
   3.5315408529642973`*^9, 3.531770774452922*^9, 3.531772953055839*^9, 
   3.5317731168616962`*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"dtPlot", "=", 
  RowBox[{"ListLinePlot", "[", 
   RowBox[{
    RowBox[{"Transpose", "[", 
     RowBox[{"{", 
      RowBox[{"intact", ",", "dtL"}], "}"}], "]"}], ",", 
    RowBox[{"InterpolationOrder", "\[Rule]", "2"}], ",", 
    RowBox[{"PlotStyle", "\[Rule]", "Dashed"}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.526065863931291*^9, 3.52606589101789*^9}, {
   3.52606597655521*^9, 3.526065977050848*^9}, {3.52606630967339*^9, 
   3.526066338288061*^9}, 3.526066866674321*^9, {3.531525644726832*^9, 
   3.5315256600523577`*^9}, {3.531525928194064*^9, 3.531525933481893*^9}}],

Cell[BoxData[
 GraphicsBox[{{}, {}, 
   {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJwVV3c81d8fvtfeWZVRRmU0yEpI3p9SKWVWGpTCFy2raMkoSVJmRmSESEKy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     "]]}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesOrigin->{0, 0},
  PlotRange->{{-5.480757071056478, 3.182195664158695}, {0., 
   3.050737615725089}},
  PlotRangeClipping->True,
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02]}]], "Output",
 CellChangeTimes->{
  3.526065893440483*^9, 3.526065924150196*^9, 3.5260659782967787`*^9, 
   3.5260662689598713`*^9, {3.526066324740313*^9, 3.526066338970469*^9}, 
   3.526066543076047*^9, 3.5260666542881317`*^9, 3.526066753254925*^9, {
   3.526066861303018*^9, 3.526066878678795*^9}, 3.526067317184697*^9, 
   3.5274339172181387`*^9, 3.531034308734475*^9, 3.531508362142877*^9, 
   3.531514921618816*^9, 3.5315152402566423`*^9, 3.531515369385841*^9, 
   3.531515509991951*^9, 3.531516661518774*^9, 3.531525594546454*^9, 
   3.5315259341058683`*^9, 3.5315408529912987`*^9, 3.5317707745356894`*^9, 
   3.5317729530899963`*^9, 3.5317731169190702`*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Show", "[", 
  RowBox[{"dtPlot", ",", "muPlot", ",", 
   RowBox[{"AxesLabel", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{
     "\"\<-1/\!\(\*SubscriptBox[\(a\), \(s\)]\)\!\(\*SubscriptBox[\(k\), \
\(F\)]\)\>\"", ",", "\"\<\>\""}], "}"}]}], ",", 
   RowBox[{"AxesOrigin", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{"0", ",", "0"}], "}"}]}], ",", 
   RowBox[{"LabelStyle", "\[Rule]", 
    RowBox[{"Directive", "[", 
     RowBox[{"Bold", ",", "Larger"}], "]"}]}], ",", " ", 
   RowBox[{"PlotRange", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", "6"}], ",", "3"}], "}"}]}]}], "]"}]], "Input",
 CellChangeTimes->{{3.526065929403523*^9, 3.52606593552177*^9}, {
   3.526066889996687*^9, 3.526066891186223*^9}, {3.526066987739585*^9, 
   3.5260670158071833`*^9}, {3.526067101002493*^9, 3.526067168946617*^9}, 
   3.526067412861638*^9}],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJwVV3c81d8fvtfeWZVRRmU0yEpI3p9SKWVWGpTCFy2raMkoSVJmRmSESEKy
1/kY2XvL3pt7L9e41s/vr/N6Xs/7eZ73OeeP8z7iZraG/9ERCIRT9ATC/9eu
cwKE/Y6sWGeF2zA++Qp0VG2wPj1WzOfCZVrKtAsYrY1VtEuxYg1H4nabENxg
1ed1MMcGC8awfvSUTZAbyM9hya4NLJgFb90qp4I7EET3scpFsWALti9Pnehy
h/9EJX/tfciCJfOfEFh6/xrM5i+FnldmwQIIHC4aZ97A0qfg6rQNZixecc6B
n8UDRDfpzhiVMGMTvwaXnrZ5wKB6AIOqBzN2xXaM9V7yW1C7eIbjhiYzNvd0
/ee4jydIHxQ0ztpiwrIr9vcuOL2DlHZusn4uE5Z42+Trx/teYPaoSiXMngmT
fH3trOHz99DLNBixdZAJ+/S0XKY/wxvEYq/t9RhixPo0fhgp7fUB6dMyeZLh
jJhY5xYySP8IK8N3H49fZsTOaFbfO/7EFz55Uc+XczBihzCGJIfffjB9dEKt
9C8DlqR1C8kgf+D+p3qhz4UBE1EhLV4aDoA1z6nHu1UYMA+eQu3GvUHwS5mW
Z0OmxwZaSvFsm88gNWktMpJEj8m7Mlyjbw8Gq0jlyKcW9NhTPlfOP5dD4ZGR
udpBEXos209xpHw8DNR45ikrHXTYxJJ4t0ZAONTXd1WM+dNh/Oe0KUKXv8JB
3/25lIt0mLJL8kHjQ1Fw0bC2fA8THfZNLw7f+hANSgKtJAuciMVd8V2n/xQD
wwNqx2teELEDuiHn1cK/wY1kwhe9Y0RMXL0g7tufWAh+ISFImSdggSKb3Cc7
4iD84o+M9CQC5ko1+cjK9B0sRX0e+v9HwKbxTkEWLAGWqXXYJzEC1uRmn6Xy
NhEiI3vNDLO3QPaYlHl42w8YMOp1LpPZAoa+VVE5+Z9wpVbZtCd+E9yHLwef
CEyGuKy3YfTim5D7K8qWbvkXNO2sPqwWtQF56r0/PUxSoXuSfpeb2AbAeU+J
wbtpgCsoXm+LWwfP1uDvt3b9BjfSNYrqkXU4qinWlV3zG/budxj5lbUGKkH7
Cufd0yGs2l1W/swaxFV8NWRU/QNzY56Npa00cOr1D1sh/QGxZ+7V/1nTILFt
07/qRwYcdbHfs3trFU6kjZx4Zp4JQqtG5R2hqyD/SDOEQSQLxifkKxOOrcIr
DuE4m64s8NGh2/eubQVUPj0wy/qcDexSlS2Oz1bAkKLU3G2YA1aOb3ofi6xA
s8rThT7uXIhWUQL3imXIuKtQjhpyIcPu38rXx8uw8tBS28U3D+L2OrFV71uG
iJt8bkL6+WAPzE8Y25Yg7pCqVRBPAQi1fzym770EXL0dW9MtBRA9yKqXdHoJ
euznL4iHFAKd2Uucb5MKHJOuZ5WMi0Dj2tB7nwIqfD39nnJADMGNYo2f/C5U
8HdhN1gYRaAb7Xcg+TQVnui+SdMzwuFDSHS8PisV/HIk9+jk4uCofbxvq3ER
blrdcDokXAwcuVfqc8MWofmmMBp/WQxXh1ccXcwXYS3g4ZJHdzFoV+1v05Hd
5nfo7KFTK4G5+23TUrQFuNFUIGcaUgJYJWceR8UCfOzIV4xYKIHTg7WwHrQA
Dvu0JXJ1S4GSyftqyXwBmNKtGLMSS8HgXL/9muLC9vXztwYQy8AkQEGEnXEB
VKP0/fVulIHgF47XEh0U6FoXPjmTWgbOtx591U6igFyUU4c141/43HPF7oUL
BWQ979z5e+Mv3NpdSsu4TIHu310dxF9/oZkzR512kAIq+4ZOimz9hSWkqKxN
pMDpjucBQvrlUCWjPB7XRYa1xui2pahy0L6G9Nj+kMF8xzXmP3Pl8EK9wfbF
RzK8DIiQ0lOvgOu9/2lRrclw6qa9co1XBYyqvml/cZYMWZZtilKtFSBmKLWX
fT8ZerIrRc1FKoFN0lD4O5EMaToXaS5WlRCbSd90cZAECtK3Sl+kVsIkQV1j
vZgEZlqbL4yWKqH3cdzY11gSyOx67ldwogpcXozp7PYkgcvW7sfXXKugmp/u
ifU9EhjSd++TKq6CktPL1/11SPBTvCTqMLEaLBnK1/0VSPDuZt2kBVRD5g0b
0/sCJJj8tU5oeVkN5m8HiMc256FJWH/UMasa0l1CSs7UzYN6XEWwznw1XI8i
Ehki5+GIlvnOm5I1YDQuUuhgNw9RDPvvhhvXwC+j+SW/M/MQ2sP0gse3Boxn
HVJuC83DzgauOwV4Ddz++WO4mzwHwj1qfBGkGijwCwxmqZmDb/QfAtNEasHh
q1zFSPwc/Dq7NbCqXQuuTW6Odq/n4MS3kLWnjrUwesQj5uedOdAXvDJ8KLIW
YlPVLgZjczCZpBTK+7cWcm7EOcjtmwOma6pCR6dq4cDh4t0vGOfg+16ze26c
dTC531/t8dQs1G6mvGU6WgfMZ/i7hZtm4RlN1LZYtw6cP2ivPs6dhUTuTInf
D+vgHE3x88vYWbh5yuZHm1cdPPRrTFHwnYUgn4s02dg6GNcROxfmPAv6lEsC
hfl14LaPQu65Pwu/M6KPm7XUAW2D/8LhG7PQsdPRhzBdB9cGvC56aM1C0c7q
XaF09RBUpbM6fmwWrDOi2qWF6iEz19zQ6MAstJOpNeny9ZCVVm3UwDsLLPW1
S8cu1MOXlNdMl4mzsHX+wLX0O/Vg+ufD3cH5Gcg2W5+RelYPTGjU6kXfDCgK
X80J9q2HT01+giJ1M+DgIJu7+b0eaFM+TrX5M+Bk7TVvWlQPWuz/XN4mzYDG
hplxXls9PFF4pnAhbAaq5YrWOWfr4e0dK//dXjMgSP+l5SZDAzz7nBBOcpqB
g0+W+qOFG+Bik4pB638zsPGmRXxAoQG2+ITTS67MQJCCfJiAdgOE3tItytec
AZLrjnPadxuAJ6XZESnMANdDG2nHZw3wiDGxs058m1/SwcJ8GyDRvH5sjHsG
gsVSPmZ9b4DKyrPRbIQZ2Jz4xF1XuI2VuBhV56fhkD6psqe1AZISpHY69E2D
kFFz1uh0A9iIBzRm1k2D5Suh2cfERuD/pnOcoXAaxEV9wsgcjSBc8HTPwM9p
YKAzicUFGmGdKHu5NmwaGndL1x2TaITcx3bdlZ7T8O4OaZeBQiNc5YHMNoft
vJ4MN16sEWr/hQ1Qbk1Dtrcj2wvdRhBtdLsldn4a5B4qZLy71Qh65IXDt+Wn
Icht+tWJR41grLFwMVlwGoYqoq0+v2oEzWyXQjbiNAifNrT//KkR2EyC3Z6P
TwE2v/XlRHQjJB1R+7xSOwV6DT9G3qU3bs8799fe/Z6C80N6ui/+NoKbgeQf
qc9TICtN6eDt2u433qag4+kUEGL83A1mG6FaQnN36I0pyLt0+KIyXRPkNcWW
WqtNwZ3DJUrFu5vA64df8QWhKaCoX9WgyDSB3C9WnhOrk2DjPmJVdaYJMnq4
0tU7JqFtxfb3OZMm2KUSHaebMQlSsctC9580wWVUOGHnNwkWbi/jFD82ga2D
lUvsg0n44LemE/u9CSwNvv43dnYSolqe7s7Fm0DVxDRSVXQSIi6QCI7dTTAR
8Ev66/IEvKVYsHUsNcET6jsGnoYJuFHfptjP2wwZLzpvR8VNQJYeR0SFXDO8
FHxvYfh0Ao5PNt2tNmiGyqawnYe0JqDvi+TbccdmiI5lc5Dkn4BkCzYm0a/N
sPGp+7lW3zhEnns1YlfRDCOBHDIf48chC3MV611sBsP0rx+W740D1ZA7z1yi
BbSnPn32PDwON1/J/Wa40QKVJwa01abGYBj1M+K+LVD/3f8n7/cxCBQSyflc
1QK3D8dm7zAdA+uP0xVvmVrhcRW/rfzOMbAQOH/M71wrsLqPNT2tHAWffEVC
5vtWkDMUGBh6NgotTinSiw2t0KOeFOYgOQqYdk6KjmAb8J+K2JRsGoGWYwYB
xf+1QfPtOS7C8xHwUX3eopfZBkLB0dUbe0fg/lU5hxXmdhgfS5cXw4fh0Xsn
m/xb7XDSQOKMlekwBLddrAzNagfhtmViy9oQjKmmufrxdsBrh0MPzD8PgXFW
bNA3+w6wO1joKnBkCJa0JZkbWjpgbDUVKGgQspaPd+xU7YSRYbqfJP1B+FrQ
yfA0phPuj2cW8/UPwI8wFj8KRxeMtf6sm3g4AINfXecPP+8Cr9VP8rTVfrjQ
SQ0rH+4C1iKeczEi/TB4/oFvyaV/YLDc31mu1QdJ8/0Nohn/wCR+dfK+Yy/E
1V427hPsBpnK288/JvRAY3+5/Oarbig33fFOtq8bjhxUvew60A0HHrLz6W7X
5SQmobuneuDsrOHemev/wPG28NP46B44Mjwaz/K1C8y0PzzX3uyBTp2y5NjR
TnB7SCvXv9kLOjJz8oUKndBYZm2ak9ELtu7mx656dMD1y+2n3Tn7wEb7QPaD
f+3AKqBp/9OiDxS85LIJx9phijd1SjmvD/LUvI7xB7XBqqZQ6n6ufmAxO6zw
fbkVTv70KLK/0w97NwV/ZZm2Qtr5OQHx3/1A5bry/WxtCxz8dLhfgDAAgUFd
ey+fbAG+QNOOJsmB7f9PEl9/ejPsVORzzL80AOKb5e8mjzSDnM25nDb7AeAe
kn3h8LMJzM6sRosFD0CZ2tDUc9kmSMk8fDQidwA0WAa7tjIbgbek1+x8zwC8
0j6sxXC6ET7d26EusTkAFZ7eb/bGNECvkm3WR9FBiLpn+VsH1UNu8s+6HmwQ
3p2c2h3WVwf7msrcec0GwYVuV/bWZi0Ifctrln0zCG9yJj+5i9VCtOhHXD5u
EEJN/4sS0ayB9AvqF4X/DkLustdEu2U1GIpVOkyPDsK025X7SR+qwD1W7vg3
piE4tFZxIOx3Jai3OIaC1BA8tRzeHdtZAW9TQ4JLtYagpeS7ZiWhAoxVguVl
rYdAg5s3keVQOeCP7O+5eg1BpK7EWYsrfyFT76BGduIQSLgMCHW7loFSX2Fq
W+UQ5EdqHnyUXAqnBI8W/ZsYAtM0XTuhfyXQQ3h1r5xlGHj/EElDLCXA8Dnh
d6j0MLR8N0ksVymGvLaUYIPzw/Dtg2nY33s4rJcECJCthoFQyu+JjiOoN7l8
/Om7YejSz9M+FFkIR2JJlOHvw1CPp7rVMBWAQPD9i8fLh2GQlyoVa58HAceK
MfvRYdih5Y397suBUPfFZn+GETC5ZVtN1ckG2RcMdGH7R+Dv1bi/digT9EXJ
dZ6nR0CyYP1upFIGcG+571S5OwK39lxqoKWkg3uCS/Z71xGwcgrg9JT9DdEC
439efh0Bv6AoVTfLVLA1zGfjyh8B2lEWmsGLZJi9spaPdY4AB7pt4h76A4TE
Eir4qCNQeSr2Dlfxd1j+UyTzjmcUZHPamFYXYuEN9+m5LzKjcHLfku4p+RjA
j8mz6l0YhZktFod6cgT82O/jEmsxCmnfiN5tn0PgzD9D3VDXUSg/0j4aohsA
n268fSbzZRTqTnCyH1bxhvcx+zfMMkbh07+LcaqrrqCQLtOjUj8KiZldb/iT
rMD7Q+zO1PFRsBNhOzNAMkV+Mm9//CWMAX7p9ZWPL16i86HNIc6CY6CrdqGM
ZvgOpdR8GGiRH4MqdOlwhKkfKq1Ie1NzYQwE10LTtgif0TufU+7md8dgtx4r
JeFjGFoT1OgKf7btl/91PogxEonZff/wxHcMfMR+XjFXikGUTy9CZ+PH4JNt
mG+kcSxydMrbYioYg7HqMGnnZ/Hou6RlMd40BiEKyaLr3gnIK+pVr9D4GBTv
irPkjPuBNvwHOf6uj4H3+JX5yNafaDrFgcWWbxwW44py0/akIP0luUaB7XfD
NYFkJq6RhuSs91iUaI5Dm0Pf+6Tnv5EXw7GyB7fG4WVGYtMCno6u17wg8T8b
B4eHemobfBkopmB2ojBwHHK/NJeWO2Qii86PvyzTxsEAFGz0e7NQtIixxo76
cVC9aaP65XIOuux7NTx7Zhzspz0l4tpykduhV2WmHBNAo7xUsDHPRxKkplxm
mQmgs9e5s7JegM4PXH6ZqjsBMv+tpZz+VoT6aXSs1+wnoGX8tO/3gziahX6z
zaAJUL3u1MHOUoyepk54xedOQCW9gJzBTDF6fkH05aX+CXCZkgpzai9BC5xv
VBcYJ8GE4zuvc3kpGlvnKwuTmQSzewERdwvKkMGuZiHMaBL8ibPKUjl/kfLN
wpNjrpMw0Zo5WJtbjgIr2474JE2C9fBMhGFxBbp/V3hCvn0SuGQCrHPqK1H2
gU+2HXRT0Pc7/szmYBVy45UtdZabgjZ7KfkDa9UIP7Q2JG46BY049725nbUo
TGzei/fTFMRQbkqJy9Yh6QR62y8FU3CJmelhgWY9si1S+Zw7NQVNmzzHcaMG
ZGv5ac1WYBpCHsKZYMVGJBHF8K3w7DQoXpRMc8trRAHW4V7ftuc89fCTpqJY
E8opMUwViZqG3yZvDRzKmlDwr0O7FGqmIcB3w/O5VjM6eHB/Yc/SNAwqft9S
qmpGTsfU40T2zWzPOa75cRda0Itmx5rlSzNQ1uiVV1nZgpQIjQrWT2fAqqpk
PfpcK0ou0v5nGzMD1ooyr2VKW1E751gxV80MtHJVattotKGs2ZjJM4szkGIc
aGSe04b0b7sY8O6dhSVB33gO+Xb0zfTlqtPZWUi6kH/8fmI7SiKHDjo8moXq
qd2cziId6D5/ByvT51kw2oiTOB3YgQYqjjnIFWz/U9zN3AuYOtEOjkwhytAs
ZDnpi00/60RLA1foL7LOgXevDV39ZCcKOrfzyImjc1CZWSj1340uNKG+FFRy
ZQ6ebKn7pVV0oaXS5ZODz+fgY97MiTSlfyivW1AqJHIO9gm+PJEY9Q8Fem6x
RJXMgbpOcFQPczdqLb8Y8Wd0DvqNNKx1HnWjtxGbA63M88Cm/PgzraEbxTEL
dNAdnIf8KSWpkaM96ChLqMvJC/Ow9OTNXraPPUgq0qXDw3oeclpvP3s43oM+
VtUMdnrOAwNbxXF26EV3vV2/qsbNQxt/gfFYYC+KGQhjS8DnQZZ6cmRjtBfp
1godFO+Zhx0/LzUZHOtDVjp0qwlL8/BSeWLfkHsfWpGXLtzLQoInIdxdKTV9
aOHd6/ZH/CSYrfu7kM3bj+Kk/c6fESPBXBfz4w2jfsTBb8AXc5gEjvntRq6h
/eig9l9lD2USeDkoRJ3s6Edb1TPpsxgJ/Fw5JSNYB5B3cMW7Xm0SRMtVphyX
HEA1yVczL1/ZzrtUdc/+1AAq4ww5oX+LBBwt3NcuGA8gh9wPQi3/kcC6LNIJ
PR5AnamKhj2Ptv3FHle2eA+gRdKnoQeOJHg4/vGSZ/QAqnD+WuPuTAJ+wXm6
jowBpH/ZlFPkDQncMoOn/1YMIL8nrQnYexLkWqul0v0bQC0RvaMSviSo6/Nd
Up8ZQHe9jHnZPpMgb3dI8ZPNAaRxXFdm9su2nk+fO4l7EN3/kancEE0Csea8
oZ59g2ioz1827TsJvlzuUOE8Noh+dAzx+yVvn1dIPO8JrUFUGJg4aZNOAsEo
CTvLG4NIlG84+VIOCUTvXTPwfTCI6q8G3D5YRIJNqlpW5qtBVGuctclQRoLs
s42RXb6DaJeE3sf+KhJoX9/NvhYziFJ/m7DlNpAgU4Z7TTBjEH0m9jv6t5Fg
7W+ejXL5IKrib2+w7iaBgPhuS/3OQaQ9fUoABknADRKDVlODSOjtPj3+cRIM
iY72O68PouNDT59MzJDgU6mRmS/XEPpGd9orn7Jdf+iFdZTYELox5ub9cYUE
jy7rUZIVhpDpR6WXtzdJEAftW9lnhlD6sslNWQYyZM1x+eNGQ+iqBE1qg5UM
kXdW48uth9CZXRwj1TvIYPb5s0b1iyHkVh3wKWQnGTZ9hm/W+Awh9tOfpMyF
yeCkNUyrihxCQ86bKTLiZNiqoPt+6vcQCpqtaxWVIsM/nrThX2VDKJFp/LyZ
DBmYJKb/cHUNoX2VF9ipimTwIGbsspgbQkSFJeFONTLoJbBxpDAMI80zMy/Y
T5Ph0a75wBnhYTS5eVja9wIZunXvpogqDaPFu5n7zQ3IEKF/11hLZxhZPPJ6
9O4GGX4Iz38xtxpGx8XjGdfvkoElje3Rk9fDyPYV+wx+nwx5nBlNzyOHEcfr
fLH2x2TIV5qufJy/jY9mxp54RQZOiTRDs65h5OCx8oTsSYbffXS2Z1eG0YnX
b4OW/cjw7e7w3r0CI+ietAmdbjgZhn4ZmE6qjCCak3PRYjwZnpfqKCbdHEGU
R2OV02lkuP2tI8z01Qi6xPlFXLGADH7a8wGsMSOI7WpIZXUFGfgKgkQS/44g
mbN9hektZJhaqlA/MT2CMnttiNP9ZOBd85ot4RlF30QuBD6eIYNnZYccqI4i
MvOjx5dWyXDRNIMp7e4oig/7F+PIRAFLJGK788MoQi3+IvN8FGic2HXfNnMU
qWcFTOaIU0BnyUtn98AoknR3LAo7SoF4uru2lmxjyPNJ8/XrJykwyBnVYKI0
hkz9fuQsalNgbbemDe3WGPrVSuu1uU6BaTGdi/BuDNmdKq8s/48C+dKFlofT
xtCPdvbn6w4UeHQ0EC/qHEMmQTVzO9y29UoN11cJ4+jNC8ZDxI8UuKtqf7Rb
ehyJvs891BhGge/qz89Y6I8jRXyc5PydAjUa4yFBT8dRoaifM/MfCtRD/sGH
keMIJaTX2SIKpAF1dapsHB2/rjeSWUOB+xqfWXimx9F+eUu8q4MCLOrhV/u4
J5CXwvLd7mEKuKowDxoqTyALE7qqvHkKtCt2JdkYT6DMlHfUp2sUYJLl+SPv
NoGcD74b52VeAAGp1NXwuAmUV0uI+sC7AAyif1x+VU4gm9BF4aG9C9Cwc+9p
y5kJFOpjdnvXwQVwYp/VLN8xiVR+aFtKKy0AbWufR53CJNKfS1YUgAW4tVBE
53x1EvUZvy8fvbAA4aM4ano6iQbJ/SL+VxYgr106vz5sEpmkpakLmS6Ajcj1
6375k8j5dscpn3sL8Io/jabYO4nsS4/qUx4vQF+O3LfczUmk3p9rdcllAULZ
/+mKi02h3t+OXl+8FiCeI5nw4NQUunzCPL0nYAHYCr5nB5tNociXr0d5vy7A
X8Hqx3FvplCRQ4v4yYQF6JTYdSwobgpliRlZGf9eABjwXvvv7xRyf8uW9Sh/
AdbPS1cIjk2hfTEkzid/F4D3zlxIKtM0CnvMYmvTsAAvJXofSUlNb89TBl0m
XQvAH7Z43l1rGq2p112C4QU4lK90sNBqGlEUX1TtnN3u98NXru530wgfvK43
sLQAN9iOrv5LmEZ3z93riyQswpPjkxMFFdOo6+5PJwO2RRjire11G59GEkqi
Ait8i5AU0dEhyTyDzheWlQTsXYSyVvaOFMkZdGoj3ElcahGU8q27Bc7NIM7F
OMU4uUXY1JsbsfhvBv2O6V8VUlsEocCIhQCPGSTNdKnqreYi+Hk8Zo6NnUFO
4lMxI5cW4fqBx2KfS2ZQ2ELum+NGi/DSIVzj3uAMCnDOt3ExXYSTJNXzJwmz
KO/Afp9y60UgiUTsPyo6i+5dkWDc67AI/pvFjRoasyiKvaTL/eUiiPr+1Ht4
axbd0l5lpXosQnTj9ehs51kUy13z2enTInCWVpWIRcwiu9vHXzGFLsJDy82s
hPxZVK6ogcfFLEJ23pLzpe7ter/+2wY/F2ERpfPvWJtFzI7CNzgyF0HEScFl
XmgOLQ6QU9qKFkG11zF3Vm0OWbea3flVuQgY1bmc1XgOmevZPApsXgTuIq14
zZdz6J8Bf/u7nkVYOt5+NTx8Do10X/niPbYIdWbSndwFc+jp7NG8cNIi+Gpo
HInrmUN+nvHH8mmLcK5mt+HVjTmkkJDJMclAhTGWzAsHROaRsd4dkNhBBafl
nXw8MI/YXePrbAWpsBqsliJ8Zx6dVX6bXbmfCpbj+4TPuM8jBset9aOyVKic
qL/h/W0e6Zzgj4xXoQJfuMb9udJ5tOd96ZeDmlQw3LS/ZDc6j57c5lzI16GC
xnslghc9CRnmk7+bXKdC7TRPqSU/CeVE2WWxm1PhaJrA1uoBEjJgr8t9/4gK
NaZ+Z8aVSKh648KFkKdUiKQ9C5Q9Q0JiT8ctlNypkOjWPN1gSEJGT+M57npT
YYocoVNzh4QebL7B9gZSwVy3M0fMhoRuc7wh3AunAn+wh0zjCxKSi/l26Uws
FWiVMT+7PElosGDoQGoSFYTGjyqeDCAhB1PN9z9+U8GOJFtGi9jmvcqeK+ZQ
YX0k8jZvAgnJqFouXSqiQnGZK51HGgkZ20lvUUup8Me3KVUvl4RMZdmDZKuo
MH42yNKxmIS0H3NlLtVR4fJ4hSS1koT4QcFMt5kK1McPSfUNJFTg7xR+rJ0K
9dPupXTtJKT5oPtOchcVBnRZov26SSip5k56eg8VpL9uvX02QEJz6Ux+5/up
8KPdyjFvhIR4xetWHw1S4c4aZmM0se2/K2N+3zAV9Ng/2F2aJqEl/3x7qxEq
PGE65xwxS0JZQcOuJ0ap0DRj739unoSuihwRitrGlkVcadokEmqW/YwFbGOF
l3s6E7exbLnIAv82vrKnNvIhefu81RJotdt+c190w2IWSEhhkEPszja/sRRb
obVMQsV5eub1Y1R4LVd70HSdhBgrbMt2T1LhlVYFGqcjo03GR5rqM1SYPfH5
/SAbGf14qjVwgkSFVk7ld5f4yYhjz9aXXVQqyBX+yJEWJSPxhcDHtTQq0GmT
9jodJqPpdcb7t4hLcDGDNVtJlYzuq151qWJZApZ16huL82QUnuiexs2zBBri
mR6MN8jojfYHgqLQEjTu18rd/YCMeEUdbOQOLMEcfbJ4uAsZmUkq01iOLoFb
8XChb+A2vtMRW6C2BD4mcx+pP8hoT93VBxe1loCtrca/tpiMPB/+1s+8sgSE
w85V/N1klKgxdZlmtgT3b28p1VPJyFmT4CjksAS6tldbV3goiOnlwp+dr5cg
9pZLQtBRCjozWso9E7AEDgdfpMToUpDya/sPX+OWIL35/KSoLQV1G6zvP5S9
7Xdj6toOfwo6dsXin3/1EnwpvE2zzaCgc+9/pLT2LYH6VnzjqS4KYiHXRFMW
liA5RrooaJOCBOGD4jXWZVCR1vv+bP8C4pFKmHwksgxjAYLvZ7UWEDlRtFRZ
cRlSB99ZLjxYQFlli+i31jJ84f+i4e27gCxeSA70GS9DzGF9nvT0BbRalbG/
yHYZyiWT+u63LSCHP1Heem+WgYcp8XvG8gJqVx7nDwxehidVF+75Ci4isSsf
Srx+LMO6na/kmtoiusLuEyhXsAwR68/6lo0X0X2TyXfe9ctw5yGT/1vnRfRA
KzYqeGAZBPHjGnERi+hEbe6/K5Rl2LPCMXa5YBGxTx9R/Uu/Amr8nl5B3YsI
xa7njfOvgDN/rIQlbRGZLknfKZBYga4V88JKASoaGvotram8AteKK/UKlKlI
914Iv/O5FSA/aurBrlBR9Puu/VZGK5C6+crCyJ6KejSfGTFYroDX4/qx9Y9U
tB7yOPmy4wq41ZaYKyVREYNnjcRVjxUIZTXuXv9LRQucbiUsgSvQcChEx2iQ
iqqP+r+2iVkBKbmnedg6FXlNb/7nmboCXwTXxAt2LSGZU1UP9QtXoMmAS3FD
bgmZS/b6kapXwEIzIkLl4hJq8ZOq9e5cAZO5uNs2/y0hF7dEEdGxFfhtKP08
0nUJ3aWaev1aWIH/7CRnKsO2+XkdVmXiKjhrRWXP/llCnTYOMTlcq0DuCOjm
qF9C9x7X6R/bswq14sTrkhNLSHnj9u7kg6tAkJg6oka3jNQ5pKh7jq9C2KDO
zfN7lpFrtMTUuzOr4HvtyIC+8jJazr25NGOwChOeb4su6y+jX9fLBS+ZbufZ
3qDq319G752tr8Q/XIVQnkSP8x7LKEPi1PeV56uw45H9Q7XIZbTriv6Oc+9W
YdI9M1kyZxn9YQ72/Ri0CmL6T85yNm/rMV6phphVyO/4pTw3vYzCN8va2FJX
IV3AzK2KcQWNnEoJxwpWgY3Pf1+U6Aq6x1b/zK5qFcrL1fbaqq4g6esHHn1p
X4U+RVM71csrSOzw72dFw6tw8+am8ObDFXT1zZPwHtIqKKoJiBV6riD8jk3b
4sYq2LQkOztFryDr0khJZnYasEgWyB/KW0EXfjL68gnQoFbRoTi7ZQW9PjX9
l1mCBq82ab82Z1bQodSQ103yNNjrabS8ybiKtBbZ/tpp0CCt2uNrjsgq6uQ+
+3FUmwaytW+jDx9fRf8YznUfvUaDaO8bhOt6q0ivkTNVz5wGG4yEwpNWq0j5
cQTLWVsa6Go8b+9xWUWBs+TxHS9p4K3499Kx4FV0G7h00jxpkDc6LKr1axVF
W5OPSwbQoO1Kmx5v2SoyvBeeaP+VBoNuYT3B/1bRs1McUQGJNCi9J1feSlpF
RLKm8Ps/NEjZ8YWjlomGOJ+d3nu1iAZeDu2pznto6EM7c/xSJQ2MAkZTx+Rp
yIUjKP1RCw24bCs42LRoaEBw/GxeLw2yWJzLx4xpKGuTYNozTgM9U/peZzsa
IuQPbrSQadDpcEu/1oOGCnTf74tZo4GhprdYWygNTeUu12oyrkFW43udkOTt
vPUjG/lca8AlbNLBi9NQ5K6Df1gF1uDKPmKRVgsNSbLMzB0RXwPvsWdE5TEa
Em1yTJM4tAYpVqUxvSs05GNfvrygsAZVC113x9jXkDofs/rMiTWY7sxkWBFd
QywDdxbNzq4B++5r3rzH1tB4R4vYdb01kE0ppBy7uIYGaabFNTfWQC9y8qSZ
2RqinGdsL7RYA6fxfw9CXqwh4ZLS27J2axD63t+5LXAN3bAMN97rvAbFHpx2
e1LW0J9jPrXeXmsw0al77mHVGtonF/zb6fP2fjyvbpWNrqEfV3PZBr+tgZqP
eLgk/TrS+k7tqEpbA4vpdEF/8XW0Ln5RUB6twf1Y1pcMp9ZRbmVu/a76NQjL
kEBud9dRzJdTKy9616BMhHmM8c06iggZ+nxrdg3Ig7/mA+PXURqKSCjaWIP9
m4I9h6rWUS+vnUwk1zoYPr74s3p2HYn5m0iti66D16nTtx7zbSAXNbPPnfLr
kGO9ST6gtoFIXO5PFc+sA2nC9V7/3Q30iiu3juPaOuwvKS/95r2BRFXZQi3u
r8PtxWaCbcYG+vfpSbuayzoEuMaJnenfQEk7Vrx8A9ah2vzE/n3smygoPyjV
LGEdmGJCWFhVNlFIgLZ2RsE68N9nCDn/3yZKC5ctO9i8Do3k2iC5gE003nvV
y3p8HRRUyMTiok2kegMPtltfh1Mn7ftWpzZRPKfN/CmeDVgm6Bzq3rWFjqzd
DuiR2ACTNx6jFqe3UKN4oCumtgEWZbu5Qx5toQ/ubNmPdDdAsIwpyT50C1kI
/VWxMNuA568N/iyWbKHrMyUMB5w24PXW8mGx2S1kvUwv/Ov9BkTs3WB9wU7A
A094vdyK2IBqoeRjKmIEvDNHT1I4bQOOLbOEVSsRcHHbm8KE0g3g/MOnJH+B
gH+9nXgzpW0D1HVrmR7eIuDK71RHJCY2oKhSgeelPQGfmODMsaRtQOg+rcu3
3xLwrDcS7XYcm1BqzFq3M4yAR15z0zgjsglaT567xCQT8DgLEfLA0U0QeRhi
RcQJeEnS1uy5U5twUdPc61gLAd88eOCYk+Em1Kz2DJwcI+CGQx/Kbcw3IdqX
wV5olYCXtih/k3uyCbUM/1Rq2Im4/uaBynyPTbh045aKvggRX75rpML9eRP2
ffxk+0OOiOduVlNk4jfh50mul62niXjjlPK73ZmboM3yarn+ChF/qq77tqFs
EzZm/o2EWhLxXwvcs1dbN6F8WkpT4RkRf8LtWpQ0vAmxDBa84e+JeEVA6God
ZROCjvsatnwh4kkvbkUi4hZ88fhB3/2TiItU1iW7cm9BxnS6RHoBERd9OXmA
S3QLRh/+zLleR8T/BKYxPZDZAmmWwIL6XiLewrPfMPjEFrwpvCfPP0fEPagY
s9+FLZjzObr74CYRL9Ngk7x+bQtuO4084uSiw91nXVLmLLaA+tzrWPFeOnyA
GBV92WELvoUI25yRocPrX95f93TdArOGr7tD1OlwbePBYi+fLVAR36GQe5EO
vxZNT74etgXiH20Lk27S4QvaTe+X47cxH8p9cI8OFzHW9rFI3wKlPxuS60/p
8I5Gm5Wooi0wfnSY0cSTDhdL1qj/Ub0FoafOX/kQRIfTZnI5X7dvweTRK/ze
3+jwO4EDWdJDW6Cvonf2ehodfj0qverr7BZU31QdpxbS4X3ccucGV7bgZggv
zaxmW//4SPAqkYBddWkmiHTR4RWaa5ejmQkYX7SdS/w4HX754D2HcE4C5rc+
47C6RId/PeBEnuIjYA2BWn2CzPR43LF9TZ+ECFjTf244kwA9ft/kEc87cQIW
6BAiiB+kx2dDr6W3SBOw3Xk+k2fV6XHZ6YE/T+QI2C31O3KhevT4kcusu+6r
EDCLVZ65LHN6fLKxsfMPRsBkyDH7vj2jxy0sjq8bXCBgOfu56298ose/cp50
O2NIwOj9TUi9cfR4YO2gxQdjArag8u69bAE9fiJGIknyPwKGC/uFXWylx5M/
sOjvsiVgBqpPxY7N0uO9H7yNbj4nYNH+6iLTTAx4dczPQsobApZxYCDgkTgD
7lT34G3/JwLmSbnrUqDOgPdx1fwS+0LABNeKBzquM+AMllXKWfEEzEGDkIcc
GfDpZkux6N8EzKtgD9uTQAb849XY+32F2/tx3N20+JsBn5t12WlfTcA2rUlc
p5sYcI6IVbHrHQTMJCSh1JjMgE+Z8n0MHCFgzwkn50/xMuIeqrU39lMI2M24
NP9FRUa8R/rAO2YCEVN/w6qCrjLiDYNmf0mcROzBV13bWSdGXF2gscxXmIiN
U1yPu4Yw4vtqH7wdkSZiP9989XuSzYi/3jjGPH+MiOXrJbyoa2fETZJltVNP
EzH+a1+p76mMeFrnVV0JPSKWG+ZKTOJjwp1f/+QzMCZiibt1I2XkmfDSH0e/
KFgRseFGllp+XSbcQ3dosMqBiFn+TfU2vc+EF9qVTu1yIWKK1NP/OD2ZcFvu
lgzB90RM905JnmgME/5VhgdrDiRiAUyyRz7nM+HHK1/5YJFE7NTEW1mbNibc
aEDgi0UiEdNgrC5OmmPCyY5D1hrpRMz9Fm1Um5kZZ3j/b6Uun4jtIO8K1xVl
xv0Eidp8f4nYFBIdzFRmxkOljEy46okYVzV/jpsOMy7wp+soaidiLjuWRFPN
mXHegg9lEv1ETMWvVODUc2bc4/RDodPj23mXXn1T/sSMO5x7Kc8/T8Q+aO4v
9P3GjHdU5LBGLBExKadM60tZzHhO+YHYrg0ixjaiGP+wihnn0UQbtQx0mMrH
SAdSNzM+ou4l6MROh9GNfJbhmmfGOeXvbF3gpcNSbuYprNOz4FYRUjmFgnTY
KTL76zwhFpzi0qfZJE6H5SV4C19QZMFTOj2+eRyiwwRclLcSdFjwiB9CrR2K
dNjNJztkOu6x4DnkqM7qk3TYG++d8e3vWHDW3/xpt87TYb74eavvCSy41/iz
m36X6TC3XT8en6tiwVU/13aYmW7rfZSrs2ZY8D15O6TbHtBhO/eR7y/zsOJH
jU5fHH9Gh+V3dF5lUWXFn9yzOBXmSYft+DXrPXmXFe9ccGSbDqLDnn87yhbu
w4q7UJ2+98TSYeXZkS17cllxQxurnTZ/6LCtGbVxm3FW3OS21rWo0u3+TzOc
9d/Nhgf93fXQrpUOE8qmzby5wIZvxbZdHhylwzYuivSfe8WGh62+4aIs02G1
BFvhf+lsuGW5eMQ3NnrsedtMzMkpNtycLXWdspce460OcbDfz44H/j0sNyxP
j3n12X50vM2Ok5ZDlB+fo8fGeB0pF8LZcbeYhR2xxvSYnFVCzFwXO65ZolHg
YE+PGXUzhZsLceBKN5+fGHpHjwXjB3yOGHPg+/uXI+5F0mM7rQP21X3hwDvL
uUhuGfRYd5Pe7bNdHPh1niIl6Wp6rG/DBD7v4sS/FjE+MO2nxw7N5P4tMOTE
f9aPBkgu0mMZEZbk/I+cuPup28mvWBgw1x3mJQEVnPje3bbZFnsYsOAzqSqn
CFy4h55ARvdRBmzixMUrFce58N9TN74NnWbA3lKVd0rYcOGJE4qvn19lwIzt
HV7ejOXCzS58vxxtxYA5p254WnVw4ZMcv3dde86ARaR2Hr/EtgMXU7xS89Wb
ATvnQP+JRX0Hrlzga/8knAE7vPzqfcTDHThvojlr908GzETj/CGWiB143lJD
QFM+A1apZWZ3sXoHLpHYynm9hgF7xVdrbLm8AzcusH9h848By2487ZTMw40b
KSZ08k8yYG3PtPx5pLjxvZyO0heXGTAeukWXoRPceOKF7ns8jIyY3cPzIKrP
ja9PdEVY8TJipOwzzRXm3LjAtF2xjigjFjAycbzHaZvXi+4oPcyIXaMo2Zm8
58Z/7LburzrOiKkPSr88H86N7zld2WmqyYi9Zu/44PWLG+dVT1zk02PELGsM
2hiKuXHMYd78iTEjNikWdq2wjRtPGPkq6W7NiLFx/OJNn+bGtQL/qKs5MWKV
Ph+Zhul4cDEXue9RHoyYVKyaor4wD64Yz2/+O5ARE9XLCF1V4sGdWe48to1l
xAr8aMr9ejw4MZG3o+sPI0ax4uQiPuTBC98c+UQqY8SqWmf2mr7nwTPCf4X+
aWfE1DpCLVcTePCh+c9L+yYZMT1bnomGCh78kttogsY6I9YSYfRtaIIHb7oU
kczEzYTtu2P9WZ6dF0++msfw8gATxp57rrhAlhcv/AJp4apMWEgCWcLjMi/O
sudIqrUeE1Zw+F7pu+e8+IcuV+LQf0yYx9lfYRXRvLh2i1oC8ysmbHSxMFGz
ihfXYL0V3RW0jVXDSWsUXvzBy7GZa7+YMC/+s/akvXx468EOn9flTFiZR/4h
cW0+/An/UbcbA0xYrPfmnk9P+XDdE3PlPTQmTEiS6/zx73z4nUj+uxy7mDHl
a1M/97Tz4cknv+lOyDNjU3sDz2sw8+NygiG+drrMmGxS2i5WFX78SFziP/w+
MzZxeJprypIf7zLwGVt8y4ztjT0tPxjIj5/Yd/oPRzQz1rQj+9VcET9utLMa
Y8llxtbszy/yTPDj+w4f8B1vZMa+Vy0FXdyxE08w149MGmfG/u4qMQ1X2on3
FunaGGwwYxY3kq4Qr+/Ea9RFt7p5WLDn/qmPXz3fid/vLdbXlmDBuFFTwY6w
nXhJtLJ5xHEWTHiIWy4na7ve85Vy83kWLIb2sM6peSf+wTe4evo6C/aWZSzo
4sxOfDbPXXTSigX7H5SdwJc=
      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJxTTMoPSmViYGBQAGIQfdNNgkG5lNNBbvkLD73/7+1zwpKtNOWYHbTbxW6e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      "]]}}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesLabel->{
    FormBox[
    "\"-1/\\!\\(\\*SubscriptBox[\\(a\\), \
\\(s\\)]\\)\\!\\(\\*SubscriptBox[\\(k\\), \\(F\\)]\\)\"", TraditionalForm], 
    FormBox["\"\"", TraditionalForm]},
  AxesOrigin->{0, 0},
  LabelStyle->Directive[Bold, Larger],
  PlotRange->{-6, 3},
  PlotRangeClipping->True,
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02]}]], "Output",
 CellChangeTimes->{
  3.5260674469280167`*^9, {3.5274339119638968`*^9, 3.527433919857747*^9}, 
   3.5310343087957973`*^9, 3.531508362235887*^9, 3.531514921653688*^9, 
   3.531515240290613*^9, 3.5315153694372883`*^9, 3.5315155100604153`*^9, 
   3.531516661567247*^9, 3.5315255945797453`*^9, 3.531540853083304*^9, 
   3.531770774642869*^9, 3.53177295312397*^9, 3.5317731169963493`*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  GraphicsBox[{{{}, {}, 
     {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVV3k8lN8Xnhl75Is2hUiWUopCUjlDiiQUSdmSSItdyZJKRUTZkiIREhWi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       "]]}}, {{}, {}, 
     {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJxTTMoPSmViYGCQBGIQnROWbKUpx+yg3S5289z39/bPXhieWG76036d+8Mq
kXXv7VUK5Nr4TryxTwODd/ZB5zbP0Zj6yv7wV42Y/kNv7Tkbn10sP/HU/uwZ
EHhjP89P1TUl5ChU/TN7xkLfhB9/9uxnAIMH9mknD/1Z4HZlvzEYXLYvmS5w
c93pe/tnzQSBnfZbdQV+S255CFXPwMCnuiEo6eZjmPz+9fZff7468hymf7/I
zC8eje6vYebvF9jnvtS5+t1+qP37N/dfXO+/88N+qPv2X1B23yme/RGq/sN+
iQPmdkvmfIHyf+yvzY/8GpD1HWb/gUOZBseufPgJ5bMcyFzMWc3i+AfK5zhg
+p1j5ikThgMQvsCBuLInubx8TFC+yIEvFu2denuYoXyJA5PZ9HSm7maD8hUO
uGTdm/EukRPKVzkAAA6Yq8c=
       "]]}}, 
    InsetBox["", {-0.5942695486086853, -0.24757259443606117`}, {
     Left, Baseline},
     Alignment->{Left, Top}], InsetBox[
     StyleBox[Cell["-0.553",
       GeneratedCell->False,
       CellAutoOverwrite->False,
       CellBaseline->Baseline,
       TextAlignment->Left],
      FontSize->14,
      FontWeight->Bold,
      Background->GrayLevel[
       1.]], {-0.5807771327279077, -0.28289467766933996`}, {Left, Baseline},
     Alignment->{Left, Top}], InsetBox[
     StyleBox[Cell[TextData[{
       "\[Mu]/",
       Cell[BoxData[
        FormBox[
         SubscriptBox["E", "F"], TraditionalForm]]]
      }],
       GeneratedCell->False,
       CellAutoOverwrite->False,
       CellBaseline->Baseline,
       TextAlignment->Left],
      FontSize->22,
      FontWeight->Bold,
      Background->GrayLevel[1.]], {2.0232591322622, 1.2536159429781555`}, {
     Left, Baseline},
     Alignment->{Left, Top}], InsetBox[
     StyleBox[Cell[TextData[{
       "\[CapitalDelta]/",
       Cell[BoxData[
        FormBox[
         SubscriptBox["E", "F"], TraditionalForm]]]
      }],
       GeneratedCell->False,
       CellAutoOverwrite->False,
       CellBaseline->Baseline,
       TextAlignment->Left],
      FontSize->24,
      FontWeight->Bold,
      Background->GrayLevel[1.]], {-2.759802297473513, 2.330939481593065}, {
     Left, Baseline},
     Alignment->{Left, Top}], InsetBox[
     StyleBox[Cell["BEC",
       GeneratedCell->False,
       CellAutoOverwrite->False,
       CellBaseline->Baseline,
       TextAlignment->Left],
      FontSize->24,
      FontWeight->Bold,
      Background->GrayLevel[
       1.]], {-3.1848133977180115`, -1.2189298833511482`}, {Left, Baseline},
     Alignment->{Left, Top}], InsetBox[
     StyleBox[Cell["BCS",
       GeneratedCell->False,
       CellAutoOverwrite->False,
       CellBaseline->Baseline,
       TextAlignment->Left],
      FontSize->24,
      FontWeight->Bold,
      Background->GrayLevel[
       1.]], {2.0165129243218085`, -1.1659467585012337`}, {Left, Baseline},
     Alignment->{Left, Top}]},
   AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
   Axes->True,
   AxesLabel->{
     FormBox[
     "\"-1/\\!\\(\\*SubscriptBox[\\(a\\), \
\\(s\\)]\\)\\!\\(\\*SubscriptBox[\\(k\\), \\(F\\)]\\)\"", TraditionalForm], 
     FormBox["\"\"", TraditionalForm]},
   AxesOrigin->{0, 0},
   ImagePadding->{{0.1, 57.}, {1.1, 20.}},
   ImageSize->{916., Automatic},
   LabelStyle->Directive[Bold, Larger],
   PlotRange->{{-3.288705, 2.505613}, {-6.1875, 3.1875}},
   PlotRangeClipping->True,
   PlotRangePadding->Automatic], "\[IndentingNewLine]", 
  "\[IndentingNewLine]"}]], "Input",
 CellChangeTimes->{{3.526067435827997*^9, 3.526067520803433*^9}, {
  3.526067563127694*^9, 3.526067670620719*^9}, {3.526067724600564*^9, 
  3.526067861628015*^9}, {3.526126074984087*^9, 3.526126112135783*^9}, {
  3.527473898435082*^9, 3.527473958078555*^9}}],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVV3k8lN8Xnhl75Is2hUiWUopCUjlDiiQUSdmSSItdyZJKRUTZkiIREhWi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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJxTTMoPSmViYGCQBGIQnROWbKUpx+yg3S5289z39/bPXhieWG76036d+8Mq
kXXv7VUK5Nr4TryxTwODd/ZB5zbP0Zj6yv7wV42Y/kNv7Tkbn10sP/HU/uwZ
EHhjP89P1TUl5ChU/TN7xkLfhB9/9uxnAIMH9mknD/1Z4HZlvzEYXLYvmS5w
c93pe/tnzQSBnfZbdQV+S255CFXPwMCnuiEo6eZjmPz+9fZff7468hymf7/I
zC8eje6vYebvF9jnvtS5+t1+qP37N/dfXO+/88N+qPv2X1B23yme/RGq/sN+
iQPmdkvmfIHyf+yvzY/8GpD1HWb/gUOZBseufPgJ5bMcyFzMWc3i+AfK5zhg
+p1j5ikThgMQvsCBuLInubx8TFC+yIEvFu2denuYoXyJA5PZ9HSm7maD8hUO
uGTdm/EukRPKVzkAAA6Yq8c=
      "]]}}, 
   InsetBox["", {-0.5942695486086853, -0.24757259443606117`}, {Left, Baseline},
    Alignment->{Left, Top}], InsetBox[Cell["-0.553",
     GeneratedCell->False,
     CellAutoOverwrite->False,
     CellBaseline->Baseline,
     TextAlignment->Left], {-0.5807771327279077, -0.28289467766933996`}, {
    Left, Baseline},
    Alignment->{Left, Top}], InsetBox[Cell[TextData[{
     "\[Mu]/",
     Cell[BoxData[
      FormBox[
       SubscriptBox["E", "F"], TraditionalForm]]]
    }],
     GeneratedCell->False,
     CellAutoOverwrite->False,
     CellBaseline->Baseline,
     TextAlignment->Left], {2.0232591322622, 1.2536159429781555`}, {
    Left, Baseline},
    Alignment->{Left, Top}], InsetBox[Cell[TextData[{
     "\[CapitalDelta]/",
     Cell[BoxData[
      FormBox[
       SubscriptBox["E", "F"], TraditionalForm]]]
    }],
     GeneratedCell->False,
     CellAutoOverwrite->False,
     CellBaseline->Baseline,
     TextAlignment->Left], {-2.759802297473513, 2.330939481593065}, {
    Left, Baseline},
    Alignment->{Left, Top}], InsetBox[Cell["BEC",
     GeneratedCell->False,
     CellAutoOverwrite->False,
     CellBaseline->Baseline,
     TextAlignment->Left], {-3.1848133977180115`, -1.2189298833511482`}, {
    Left, Baseline},
    Alignment->{Left, Top}], InsetBox[Cell["BCS",
     GeneratedCell->False,
     CellAutoOverwrite->False,
     CellBaseline->Baseline,
     TextAlignment->Left], {2.0165129243218085`, -1.1659467585012337`}, {
    Left, Baseline},
    Alignment->{Left, Top}]},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesLabel->{
    FormBox[
    "\"-1/\\!\\(\\*SubscriptBox[\\(a\\), \
\\(s\\)]\\)\\!\\(\\*SubscriptBox[\\(k\\), \\(F\\)]\\)\"", TraditionalForm], 
    FormBox["\"\"", TraditionalForm]},
  AxesOrigin->{0, 0},
  ImagePadding->{{0.1, 57.}, {1.1, 20.}},
  ImageSize->{916., Automatic},
  LabelStyle->Directive[Bold, Larger],
  PlotRange->{{-3.288705, 2.505613}, {-6.1875, 3.1875}},
  PlotRangeClipping->True,
  PlotRangePadding->Automatic]], "Output",
 CellChangeTimes->{3.53103430885091*^9, 3.531508362299561*^9, 
  3.531514921688003*^9, 3.531515240322137*^9, 3.531515369487979*^9, 
  3.531515510107091*^9, 3.531516661618642*^9, 3.5315255946167507`*^9, 
  3.5315408538983073`*^9, 3.5317707747067137`*^9, 3.53177295316059*^9, 
  3.531773117053738*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"alpha2", "=", 
  RowBox[{"3", "*", 
   RowBox[{"2", "^", 
    RowBox[{"(", 
     RowBox[{"1", "/", "2"}], ")"}]}], "*", 
   RowBox[{
    RowBox[{"dtL", "^", "2"}], "/", 
    RowBox[{"(", 
     RowBox[{"128", "*", 
      RowBox[{
       RowBox[{"(", 
        RowBox[{"dtt", " ", "*", "2"}], ")"}], "^", 
       RowBox[{"(", 
        RowBox[{"1", "/", "2"}], ")"}]}]}], ")"}]}]}]}]], "Input",
 CellChangeTimes->{{3.527474289731872*^9, 3.5274742897599277`*^9}, {
   3.531035803319108*^9, 3.531035855982608*^9}, 3.531037621244562*^9, {
   3.5310382901545753`*^9, 3.531038291217161*^9}, 3.531038410316733*^9, 
   3.531038845448525*^9, {3.5310469407952538`*^9, 3.531046944106596*^9}, {
   3.531047953008503*^9, 3.53104796220549*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   FractionBox["1.250012109375`*^-6", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.000015000000000000002`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.00018671484375`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.0006321257812500001`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.0011167101562500003`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.0013681657031249998`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.0016242210937499996`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.0024135937500000004`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.005167968749999999`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.007968750000000002`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.010782421875000002`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.0135234375`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.018761718749999996`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.02367187499999999`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.025945312499999994`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.028124999999999997`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.03234375`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.03621093749999999`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.03984375`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.043453124999999995`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.0448828125`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.052500000000000005`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.059179687499999994`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.0652734375`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.07078125`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.08109375`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.090234375`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.09843750000000001`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.113671875`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.12644531250000002`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.1545234375`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.17825624999999998`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.21813281249999997`", 
    SqrtBox["dtt"]]}], "}"}]], "Output",
 CellChangeTimes->{3.531035859199481*^9, 3.5310376226436996`*^9, 
  3.531038291993506*^9, 3.531038411810877*^9, 3.531038846519203*^9, 
  3.5310479671830587`*^9, 3.5315083623834*^9, 3.5315149217327347`*^9, 
  3.5315152403726263`*^9, 3.531515369554908*^9, 3.531515510180629*^9, 
  3.53151666177013*^9, 3.531525594669368*^9, 3.5315408544911084`*^9, 
  3.531770774771249*^9, 3.5317729532115517`*^9, 3.5317731171166143`*^9}]
}, Open  ]],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.52747332380976*^9, 3.527473343415125*^9}, {
   3.527473864078211*^9, 3.527473888855578*^9}, {3.5274756127924967`*^9, 
   3.527475624998392*^9}, {3.5274757258156357`*^9, 3.527475725956747*^9}, {
   3.531035339440186*^9, 3.531035357932481*^9}, {3.531035416844615*^9, 
   3.531035439116139*^9}, {3.5310354724690313`*^9, 3.531035473165392*^9}, {
   3.531035619324677*^9, 3.5310356203162947`*^9}, {3.5310359082402983`*^9, 
   3.531035913439982*^9}, 3.531038295626549*^9, 3.5310386065345078`*^9}],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.531036489826878*^9, 3.531036490695365*^9}}],

Cell[BoxData[
 RowBox[{
  RowBox[{"weight", "=", 
   RowBox[{"1", "/", 
    RowBox[{
     RowBox[{"(", 
      RowBox[{"1", "+", "alpha2"}], ")"}], "^", 
     RowBox[{"(", 
      RowBox[{"2", "/", "3"}], ")"}]}]}]}], ";", 
  RowBox[{"shiftIntact", "=", 
   RowBox[{
    RowBox[{"intact", "*", 
     RowBox[{
      RowBox[{"(", "weight", ")"}], "^", 
      RowBox[{"(", 
       RowBox[{"1", "/", "2"}], ")"}]}]}], "+", 
    RowBox[{"muL", "*", "2"}]}]}], ";", 
  RowBox[{"intactShift", "=", 
   RowBox[{"(", 
    RowBox[{"shiftIntact", "*", 
     RowBox[{"weight", "^", 
      RowBox[{"(", 
       RowBox[{"1", "/", "2"}], ")"}]}]}], ")"}]}], ";", 
  RowBox[{"intactShift", "=", 
   RowBox[{
    RowBox[{"(", 
     RowBox[{
      RowBox[{"(", 
       RowBox[{"intact", "*", 
        RowBox[{"weight", "^", 
         RowBox[{"(", 
          RowBox[{"1", "/", "2"}], ")"}]}]}], ")"}], "+", 
      RowBox[{"2", "muL", "*", 
       RowBox[{"(", "weight", ")"}]}]}], ")"}], "*", 
    RowBox[{"weight", "^", 
     RowBox[{"(", 
      RowBox[{
       RowBox[{"-", "1"}], "/", "2"}], ")"}]}]}]}], ";"}]], "Input",
 CellChangeTimes->{{3.53103588085332*^9, 3.531035945128161*^9}, {
   3.531036148588396*^9, 3.5310361731889553`*^9}, {3.531036385468575*^9, 
   3.531036417519019*^9}, {3.5310364927368927`*^9, 3.531036526305732*^9}, 
   3.531038311818828*^9, {3.531038608287423*^9, 3.531038640705173*^9}, {
   3.5310387247211103`*^9, 3.5310387255447073`*^9}, {3.531508459299376*^9, 
   3.5315084620089397`*^9}, 3.531510551266507*^9, {3.531510622566228*^9, 
   3.5315106990397263`*^9}, 3.531510875365547*^9, {3.531529799565731*^9, 
   3.531529812447961*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"intactSt2", "=", 
  RowBox[{
   RowBox[{"intact", "*", 
    RowBox[{
     RowBox[{"(", 
      RowBox[{"2", "*", "30"}], ")"}], "^", 
     RowBox[{"(", 
      RowBox[{"1", "/", "2"}], ")"}]}]}], "+", 
   RowBox[{"muL", "*", "2"}]}]}]], "Input",
 CellChangeTimes->{{3.527475615413253*^9, 3.527475620486621*^9}, {
   3.527475731181157*^9, 3.527475736404935*^9}, 3.531035344355191*^9, {
   3.531035462195519*^9, 3.531035488824518*^9}, {3.531035600796424*^9, 
   3.531035624452641*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
  "26.64898162332015`", ",", "20.508746317761805`", ",", 
   "14.184540957268046`", ",", "10.976251594682081`", ",", 
   "9.39053412005026`", ",", "8.80266075820089`", ",", "8.294631905020328`", 
   ",", "7.072843719493837`", ",", "4.446270611667954`", ",", 
   "2.69077185307128`", ",", "1.2991673103829877`", ",", 
   "0.12288531272374559`", ",", 
   RowBox[{"-", "1.8540062400911874`"}], ",", 
   RowBox[{"-", "3.527218379444351`"}], ",", 
   RowBox[{"-", "4.2853402302570105`"}], ",", 
   RowBox[{"-", "5.004715794711103`"}], ",", 
   RowBox[{"-", "6.353609765366919`"}], ",", 
   RowBox[{"-", "7.603271151985395`"}], ",", 
   RowBox[{"-", "8.778396594333282`"}], ",", 
   RowBox[{"-", "9.896409801721926`"}], ",", 
   RowBox[{"-", "10.432613112041269`"}], ",", 
   RowBox[{"-", "12.978684053433874`"}], ",", 
   RowBox[{"-", "15.335882316348993`"}], ",", 
   RowBox[{"-", "17.558509983173828`"}], ",", 
   RowBox[{"-", "19.67839664533371`"}], ",", 
   RowBox[{"-", "23.69160155264275`"}], ",", 
   RowBox[{"-", "27.48157440959295`"}], ",", 
   RowBox[{"-", "31.108413983637327`"}], ",", 
   RowBox[{"-", "38.0108856443493`"}], ",", 
   RowBox[{"-", "44.576470732974826`"}], ",", 
   RowBox[{"-", "60.054569102786616`"}], ",", 
   RowBox[{"-", "74.68200072429545`"}], ",", 
   RowBox[{"-", "102.45376172162057`"}]}], "}"}]], "Output",
 CellChangeTimes->{{3.527473943615389*^9, 3.5274739628244057`*^9}, 
   3.52747562905676*^9, 3.5274757377371883`*^9, 3.531034309121723*^9, {
   3.53103546525322*^9, 3.531035489340658*^9}, {3.5310356028542423`*^9, 
   3.53103562549216*^9}, 3.531508362507265*^9, 3.53151492186898*^9, 
   3.531515240489335*^9, 3.5315153696991587`*^9, 3.531515510303718*^9, 
   3.531516661882513*^9, 3.531525594812624*^9, 3.5315408545379086`*^9, 
   3.531770774941375*^9, 3.531772953339769*^9, 3.531773117246357*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{
  RowBox[{"muPlotSt", "=", 
   RowBox[{"ListLinePlot", "[", 
    RowBox[{
     RowBox[{
      RowBox[{"Transpose", "[", 
       RowBox[{"{", 
        RowBox[{"intactShift", ",", 
         RowBox[{"muL", "*", "weight"}]}], "}"}], "]"}], "/.", 
      RowBox[{"{", 
       RowBox[{"dtt", "\[Rule]", "0.01"}], "}"}]}], ",", 
     RowBox[{"PlotStyle", "\[Rule]", 
      RowBox[{"{", "Dashed", "}"}]}]}], "]"}]}], ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"wPlot", "=", 
   RowBox[{"ListLinePlot", "[", 
    RowBox[{
     RowBox[{
      RowBox[{"Transpose", "[", 
       RowBox[{"{", 
        RowBox[{"intactShift", ",", "weight"}], "}"}], "]"}], "/.", 
      RowBox[{"{", 
       RowBox[{"dtt", "\[Rule]", ".01"}], "}"}]}], ",", 
     RowBox[{"PlotStyle", "\[Rule]", 
      RowBox[{"{", "Dashed", "}"}]}]}], "]"}]}], ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"dtPlotSt", "=", 
   RowBox[{"ListLinePlot", "[", 
    RowBox[{
     RowBox[{
      RowBox[{"Transpose", "[", 
       RowBox[{"{", 
        RowBox[{"intactShift", ",", 
         RowBox[{"dtL", "*", "weight"}]}], "}"}], "]"}], "/.", 
      RowBox[{"{", 
       RowBox[{"dtt", "\[Rule]", ".03"}], "}"}]}], ",", 
     RowBox[{"InterpolationOrder", "\[Rule]", "2"}], ",", 
     RowBox[{"PlotStyle", "\[Rule]", 
      RowBox[{"{", "Dashed", "}"}]}]}], "]"}]}], ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"muPlotSt2", "=", 
   RowBox[{"ListLinePlot", "[", 
    RowBox[{
     RowBox[{
      RowBox[{"Transpose", "[", 
       RowBox[{"{", 
        RowBox[{"intactShift", ",", " ", 
         RowBox[{"muL", "*", "weight"}]}], "}"}], "]"}], "/.", 
      RowBox[{"{", 
       RowBox[{"dtt", "\[Rule]", "0.1"}], "}"}]}], ",", 
     RowBox[{"PlotStyle", "\[Rule]", 
      RowBox[{"{", 
       RowBox[{"Dashing", "[", "Tiny", "]"}], "}"}]}]}], "]"}]}], ";", 
  RowBox[{"dtPlotSt2", "=", 
   RowBox[{"ListLinePlot", "[", 
    RowBox[{
     RowBox[{
      RowBox[{"Transpose", "[", 
       RowBox[{"{", 
        RowBox[{"intactShift", ",", 
         RowBox[{"dtL", "*", "weight"}]}], "}"}], "]"}], "/.", 
      RowBox[{"{", 
       RowBox[{"dtt", "\[Rule]", "0.1"}], "}"}]}], ",", 
     RowBox[{"InterpolationOrder", "\[Rule]", "2"}], ",", 
     RowBox[{"PlotStyle", "\[Rule]", 
      RowBox[{"{", 
       RowBox[{"Dashing", "[", "Tiny", "]"}], "}"}]}]}], "]"}]}], 
  ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"wPlotSt2", "=", 
   RowBox[{"ListLinePlot", "[", 
    RowBox[{
     RowBox[{
      RowBox[{"Transpose", "[", 
       RowBox[{"{", 
        RowBox[{"intactShift", ",", "weight"}], "}"}], "]"}], "/.", 
      RowBox[{"{", 
       RowBox[{"dtt", "\[Rule]", ".1"}], "}"}]}], ",", 
     RowBox[{"PlotStyle", "\[Rule]", 
      RowBox[{"{", 
       RowBox[{"Dashing", "[", "Tiny", "]"}], "}"}]}]}], "]"}]}], 
  ";"}], "\[IndentingNewLine]", 
 RowBox[{"Show", "[", 
  RowBox[{
  "dtPlotSt", ",", "muPlotSt", ",", "dtPlot", ",", "wPlot", ",", "muPlot", 
   ",", "muPlotSt2", ",", "dtPlotSt2", ",", "wPlotSt2", ",", 
   RowBox[{"AxesOrigin", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{"0", ",", "0"}], "}"}]}], ",", 
   RowBox[{"LabelStyle", "\[Rule]", 
    RowBox[{"Directive", "[", 
     RowBox[{"Bold", ",", "Larger"}], "]"}]}], ",", " ", 
   RowBox[{"PlotRange", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"{", 
       RowBox[{
        RowBox[{"-", "13"}], ",", "13"}], "}"}], ",", 
      RowBox[{"{", 
       RowBox[{
        RowBox[{"-", "2"}], ",", "2"}], "}"}]}], "}"}]}]}], "]"}]}], "Input",
 CellChangeTimes->{{3.5260649986461906`*^9, 3.526065002327016*^9}, {
   3.527473563277273*^9, 3.527473697479409*^9}, {3.5274739129837093`*^9, 
   3.527473988361327*^9}, {3.5274740554587517`*^9, 3.527474063399377*^9}, {
   3.5274741657979517`*^9, 3.527474224551866*^9}, {3.527474472776701*^9, 
   3.527474473647107*^9}, {3.5310343577132587`*^9, 3.53103435789916*^9}, 
   3.53103626616464*^9, {3.531036559777281*^9, 3.531036645746688*^9}, {
   3.531036702313883*^9, 3.53103679054*^9}, 3.531036836246929*^9, {
   3.531036961121509*^9, 3.5310369870979013`*^9}, {3.5310370834662743`*^9, 
   3.531037099145541*^9}, {3.53103713662012*^9, 3.5310371439603148`*^9}, {
   3.531037261030492*^9, 3.531037271422344*^9}, {3.531037659430538*^9, 
   3.53103772737659*^9}, {3.53103778505507*^9, 3.531037844402814*^9}, {
   3.531037889531986*^9, 3.531037893633807*^9}, {3.531038266445463*^9, 
   3.531038283011257*^9}, {3.5310383522921124`*^9, 3.5310383733256817`*^9}, {
   3.531038899927363*^9, 3.531038905630561*^9}, {3.5310389525425034`*^9, 
   3.531039051049623*^9}, {3.53103911826703*^9, 3.531039143795313*^9}, {
   3.531039399429034*^9, 3.531039414876676*^9}, {3.5310394553656054`*^9, 
   3.531039491102157*^9}, {3.531047990970963*^9, 3.531048010140438*^9}}],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJwVV3c8le8bNo5jbyKrjGxCIsT9GoUSWpRVWaVEhChlNJQWUqG0v2hQyC7v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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJwBIQLe/SFib1JlAgAAACEAAAACAAAABtkW41q6FEB7aG/PHP/vP+f59SPu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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJwVV3c81d8fvtfeWZVRRmU0yEpI3p9SKWVWGpTCFy2raMkoSVJmRmSESEKy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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJwBIQLe/SFib1JlAgAAACEAAAACAAAABtkW41q6FEATORSG7v/vP+f59SPu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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJxTTMoPSmViYGBQAGIQfdNNgkG5lNNBbvkLD73/7+1zwpKtNOWYHbTbxW6e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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[Tiny], LineBox[CompressedData["
1:eJwBEQLu/SFib1JlAgAAACAAAAACAAAARpRxYVy6FEDBHEPCKP/vP6CSfAsA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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[Tiny], LineBox[CompressedData["
1:eJwVV3c8le8bPtaxs0NkZ0T2LNyvyMhIk6wkFW1SIRUllShEaMiIkGR/W7yP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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[Tiny], LineBox[CompressedData["
1:eJwBIQLe/SFib1JlAgAAACEAAAACAAAARpRxYVy6FECuPTZ5+v/vP6CSfAsA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      "]]}}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesOrigin->{0, 0},
  ImageSize->{981., Automatic},
  LabelStyle->Directive[Bold, Larger],
  PlotRange->{{-13, 13}, {-2, 2}},
  PlotRangeClipping->True,
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02]}]], "Output",
 CellChangeTimes->{
  3.531036838333549*^9, {3.5310369629134274`*^9, 3.531036987601843*^9}, {
   3.531037088369536*^9, 3.531037100980739*^9}, 3.531037147238702*^9, {
   3.531037268321794*^9, 3.531037272262868*^9}, 3.531037637519162*^9, 
   3.531037677513195*^9, {3.531037809036973*^9, 3.531037846090199*^9}, 
   3.5310378946875143`*^9, 3.5310382704927692`*^9, {3.531038340974247*^9, 
   3.531038375120555*^9}, 3.531038739901292*^9, 3.531038850862543*^9, 
   3.531038906658524*^9, {3.531038958313678*^9, 3.531039051899218*^9}, {
   3.531039110703051*^9, 3.5310391459205713`*^9}, 3.53103941795301*^9, 
   3.531039459609625*^9, {3.531047974493805*^9, 3.531048011096745*^9}, 
   3.531508362563064*^9, 3.531508467969768*^9, 3.531514921922798*^9, 
   3.531515240541135*^9, 3.531515369774645*^9, 3.5315155103483*^9, 
   3.53151666193305*^9, 3.5315255948717957`*^9, 3.5315408546003084`*^9, 
   3.531770774989339*^9, 3.531772953396912*^9, 3.531773117300864*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"ListLinePlot", "[", 
  RowBox[{
   RowBox[{"Transpose", "[", 
    RowBox[{"{", 
     RowBox[{"intactShift", ",", " ", 
      RowBox[{"muL", "*", "weight"}]}], "}"}], "]"}], "/.", 
   RowBox[{"{", 
    RowBox[{"dtt", "\[Rule]", 
     RowBox[{"0.1", "\.08"}]}], "}"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.531039159272051*^9, 3.5310392057419252`*^9}, 
   3.5310392633402653`*^9, {3.531039326704335*^9, 3.531039347327639*^9}}],

Cell[BoxData[
 GraphicsBox[GraphicsComplexBox[{{-0.5532350448206019, 0.}}, {}],
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesOrigin->{0, 0},
  PlotRange->{{-1.1064700896412039`, 0.}, {-1., 1.}},
  PlotRangeClipping->True,
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02]}]], "Output",
 CellChangeTimes->{{3.531039167532331*^9, 3.531039206868547*^9}, 
   3.5310392647878027`*^9, {3.531039328125939*^9, 3.531039347942906*^9}, 
   3.531508362630535*^9, 3.531514921990209*^9, 3.5315152405712557`*^9, 
   3.5315153698389587`*^9, 3.531515510374147*^9, 3.53151666196671*^9, 
   3.53152559491472*^9, 3.531540854631509*^9, 3.531770775041535*^9, 
   3.531772953426503*^9, 3.531773117350196*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"ListLinePlot", "[", 
  RowBox[{
   RowBox[{"Transpose", "[", 
    RowBox[{"{", 
     RowBox[{"intactShift", ",", 
      RowBox[{"muL", "*", "weight"}]}], "}"}], "]"}], "/.", 
   RowBox[{"{", 
    RowBox[{"dtt", "\[Rule]", "0.1"}], "}"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.53103935283934*^9, 3.531039380175104*^9}}],

Cell[BoxData[
 GraphicsBox[{{}, {}, 
   {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwBEQLu/SFib1JlAgAAACAAAAACAAAARpRxYVy6FEDBHEPCKP/vP6CSfAsA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     "]]}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesOrigin->{0, 0},
  PlotRange->{{-37.73244303897869, 
   5.1819930291722525`}, {-13.926576855566356`, 0.9998973650152935}},
  PlotRangeClipping->True,
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02]}]], "Output",
 CellChangeTimes->{3.5310393805491037`*^9, 3.531508362656094*^9, 
  3.531514922019534*^9, 3.531515240606577*^9, 3.531515369909233*^9, 
  3.531515510408742*^9, 3.53151666199903*^9, 3.531525594946109*^9, 
  3.531540854647109*^9, 3.53177077508749*^9, 3.5317729534563*^9, 
  3.53177311739979*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"ListLinePlot", "[", 
  RowBox[{
   RowBox[{
    RowBox[{"Transpose", "[", 
     RowBox[{"{", 
      RowBox[{"intactShift", ",", " ", 
       RowBox[{"muL", "*", "weight"}]}], "}"}], "]"}], "/.", 
    RowBox[{"{", 
     RowBox[{"dtt", "\[Rule]", "0.1"}], "}"}]}], ",", 
   RowBox[{"PlotStyle", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{"Dashing", "[", "Tiny", "]"}], "}"}]}]}], "]"}]], "Input",
 CellChangeTimes->{3.5310392459413013`*^9}],

Cell[BoxData[
 GraphicsBox[{{}, {}, 
   {Hue[0.67, 0.6, 0.6], Dashing[Tiny], LineBox[CompressedData["
1:eJwBEQLu/SFib1JlAgAAACAAAAACAAAARpRxYVy6FEDBHEPCKP/vP6CSfAsA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     "]]}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesOrigin->{0, 0},
  PlotRange->{{-37.73244303897869, 
   5.1819930291722525`}, {-13.926576855566356`, 0.9998973650152935}},
  PlotRangeClipping->True,
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02]}]], "Output",
 CellChangeTimes->{3.531039246452858*^9, 3.53150836279315*^9, 
  3.531514922052356*^9, 3.531515240674224*^9, 3.531515369992214*^9, 
  3.531515510436577*^9, 3.531516662035058*^9, 3.531525594979662*^9, 
  3.5315408546783085`*^9, 3.53177077513669*^9, 3.531772953489723*^9, 
  3.531773117452196*^9}]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"symbol", "=", 
   GraphicsBox[{
     StyleBox[{
       StyleBox[InsetBox[Cell[TextData[{
          "\[CapitalDelta]",
          Cell[BoxData[
           FormBox[
            SubscriptBox["", "1"], TraditionalForm]]],
          "/",
          Cell[BoxData[
           FormBox[
            SubscriptBox["E", "F"], TraditionalForm]]]
         }],
          GeneratedCell->False,
          CellAutoOverwrite->False,
          CellBaseline->Baseline,
          TextAlignment->Left], {-9.043975650665072, 0.9052428092918636}, {
         Left, Baseline}, {1.3663644828034043`, 0.1673821106703771}, {{1., 
         0.}, {0., 1.}},
         Alignment->{Left, Top}],
        FontSize->23,
        FontWeight->Bold], 
       StyleBox[InsetBox[Cell[TextData[{
          "\[Mu]/",
          Cell[BoxData[
           FormBox[
            SubscriptBox["E", "F"], TraditionalForm]]]
         }],
          GeneratedCell->False,
          CellAutoOverwrite->False,
          CellBaseline->Baseline,
          TextAlignment->Left], {-7.0973100784798335`, -1.585297583522626}, {
         Left, Baseline}, {1.476999432505188, 0.4685971637419535}, {{1., 
         0.}, {0., 1.}},
         Alignment->{Left, Top}],
        FontSize->23,
        FontWeight->Bold], {
        StyleBox[InsetBox[Cell["BEC",
           GeneratedCell->False,
           CellAutoOverwrite->False,
           CellBaseline->Baseline,
           TextAlignment->Left], {-9.681739049295519, -0.725600554184475}, {
          Left, Baseline}, {1.452814667907859, 0.8624041133465218}, {{1., 
          0.}, {0., 1.}},
          Alignment->{Left, Top}],
         FontSize->23,
         FontWeight->Bold], 
        StyleBox[InsetBox[Cell["BCS",
           GeneratedCell->False,
           CellAutoOverwrite->False,
           CellBaseline->Baseline,
           TextAlignment->Left], {3.742283596670202, -0.6786744264087616}, {
          Left, Baseline}, {1.0931759460304868`, 0.24848755904933556`}, {{1., 
          0.}, {0., 1.}},
          Alignment->{Left, Top}],
         FontSize->23,
         FontWeight->Bold]}, 
       StyleBox[InsetBox[
         SubscriptBox["\[Beta]", 
          "o"], {-9.241108339582363, 0.3409837775874789}, {
         Left, Baseline}, {0.6636732537664448, 0.27380378115073617`}, {{1., 
         0.}, {0., 1.}},
         Alignment->{Left, Top}],
        FontSize->23,
        FontWeight->Bold]},
      FontFamily->"Times",
      FontSize->10,
      FontWeight->"Plain",
      FontColor->GrayLevel[0],
      FontOpacity->1], 
     StyleBox[InsetBox[Cell[TextData[{
        "\[Delta]/",
        Cell[BoxData[
         FormBox[
          SubscriptBox["E", "0"], TraditionalForm]]]
       }],
        GeneratedCell->False,
        CellAutoOverwrite->False,
        CellBaseline->Baseline,
        TextAlignment->Left], {4.305908014416437, -0.2016824339397707}, {
       Left, Baseline}, {1.476999432505188, 0.4685971637419535}, {{1., 0.}, {
       0., 1.}},
       Alignment->{Left, Top}],
      FontFamily->"Times",
      FontSize->23,
      FontWeight->Bold,
      FontColor->GrayLevel[0],
      FontOpacity->1]}]}], ";"}]], "Input",
 CellChangeTimes->{{3.531511013209062*^9, 3.5315110177749023`*^9}}],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{
  RowBox[{"muPlotSt3", "=", 
   RowBox[{"ListLinePlot", "[", 
    RowBox[{
     RowBox[{
      RowBox[{"Transpose", "[", 
       RowBox[{"{", 
        RowBox[{"intactShift", ",", 
         RowBox[{"muL", "*", "weight"}]}], "}"}], "]"}], "/.", 
      RowBox[{"{", 
       RowBox[{"dtt", "\[Rule]", "0.001"}], "}"}]}], ",", 
     RowBox[{"InterpolationOrder", "\[Rule]", "3"}]}], "]"}]}], 
  ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"muPlotSt4", "=", 
   RowBox[{"ListLinePlot", "[", 
    RowBox[{
     RowBox[{
      RowBox[{"Transpose", "[", 
       RowBox[{"{", 
        RowBox[{
         RowBox[{"intactShift", "*", 
          RowBox[{"weight", "^", 
           RowBox[{"(", 
            RowBox[{
             RowBox[{"-", "1"}], "/", "2"}], ")"}]}]}], ",", 
         RowBox[{"muL", "*", "weight"}]}], "}"}], "]"}], "/.", 
      RowBox[{"{", 
       RowBox[{"dtt", "\[Rule]", "0.001"}], "}"}]}], ",", 
     RowBox[{"InterpolationOrder", "\[Rule]", "3"}]}], "]"}]}], 
  ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"wPlot3", "=", 
   RowBox[{"ListLinePlot", "[", 
    RowBox[{
     RowBox[{
      RowBox[{"Transpose", "[", 
       RowBox[{"{", 
        RowBox[{"intactShift", ",", 
         RowBox[{"weight", "^", 
          RowBox[{"(", 
           RowBox[{"3", "/", "2"}], ")"}]}]}], "}"}], "]"}], "/.", 
      RowBox[{"{", 
       RowBox[{"dtt", "\[Rule]", ".001"}], "}"}]}], ",", 
     RowBox[{"InterpolationOrder", "\[Rule]", "5"}]}], "]"}]}], 
  ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"dtPlotSt3", "=", 
   RowBox[{"ListLinePlot", "[", 
    RowBox[{
     RowBox[{"Transpose", "[", 
      RowBox[{"{", 
       RowBox[{"intactShift", ",", 
        RowBox[{"dtL", "*", "weight"}]}], "}"}], "]"}], "/.", 
     RowBox[{"{", 
      RowBox[{"dtt", "\[Rule]", ".001"}], "}"}]}], "]"}]}], ";", 
  RowBox[{"Show", "[", 
   RowBox[{
   "dtPlotSt3", ",", "muPlotSt3", ",", "wPlot3", ",", "muPlot", ",", "dtPlot",
     ",", 
    RowBox[{"AxesOrigin", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{"0", ",", "0"}], "}"}]}], ",", 
    RowBox[{"LabelStyle", "\[Rule]", 
     RowBox[{"Directive", "[", 
      RowBox[{"Bold", ",", "Larger"}], "]"}]}], ",", " ", 
    RowBox[{"PlotRange", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{
       RowBox[{"{", 
        RowBox[{
         RowBox[{"-", "58"}], ",", "4"}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{
         RowBox[{"-", "1.5"}], ",", "1.1"}], "}"}]}], "}"}]}]}], 
   "]"}]}]}], "Input",
 CellChangeTimes->{{3.531048100419314*^9, 3.531048103075145*^9}, {
   3.531048155277669*^9, 3.531048164907351*^9}, {3.531048228214987*^9, 
   3.531048233026475*^9}, {3.531049135212452*^9, 3.531049141970418*^9}, 
   3.531508348415618*^9, {3.531508394343001*^9, 3.531508397091756*^9}, {
   3.5315138771472397`*^9, 3.531513925070518*^9}, {3.531514027930159*^9, 
   3.531514038985422*^9}, {3.531514091425289*^9, 3.53151415352909*^9}, {
   3.531514204192952*^9, 3.531514245374992*^9}, 3.531514346325384*^9, {
   3.53151488985426*^9, 3.531514893342284*^9}, {3.531515033825248*^9, 
   3.5315150437259502`*^9}, 3.531515398735961*^9, {3.531515524394354*^9, 
   3.531515537354617*^9}, {3.5315157284403887`*^9, 3.531515734256374*^9}, {
   3.531516688108809*^9, 3.531516703830599*^9}, {3.5315258253718243`*^9, 
   3.531525903991437*^9}, {3.531529666374601*^9, 3.5315297160591516`*^9}, 
   3.531529773554878*^9, 3.5315299116833982`*^9, {3.531770762744952*^9, 
   3.531770763049423*^9}, 3.531770815546489*^9, {3.53177089597342*^9, 
   3.5317709054053497`*^9}, 3.531772973483406*^9, {3.531773127716919*^9, 
   3.531773207231194*^9}}],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwBAQL+/SFib1JlAgAAAB8AAAACAAAA62H3VWMVDEChOyxmuza2PwL3A2Ua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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwtl3c81t/7x29ubntv2StkZUQZ521FipSKMj5WRsMopCRSIUQSlQqpJBkl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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVl3c8V98fx63Px94jq+ytbDLyvslIRVIIJQoVUlJKZSXzSwpFiYZKUSmr
FN1jj+y9+djz80H26vf5/XUfz8d9nfd53/N+v849R+L8VWs3OhoamoP0NDT/
f55polW0/cmHafstCn/+R4GslvUJ5Xd8mH2e3lAplf+jndNZf8iHydyb7uik
su3Yg1vFt/iwSFO2rBkqO93ylw04x4dNXTtLu0NloYv6nQamfJjLaqU+I808
mJ9LE6NT5sM+bIM1B5VVj4ZGtXLxYa/HDrHxUbki5X7ojyVeTPtl+z5BKg/H
PD1R2MmLFVfP3xWmsptHxfZAIS+GIj7m/J/92/8c1kjhxSZcjsX9X5/NXPUc
3eXFSvkD//BS2UBy8O9jR17sg6/jHjYq7z630Jejx4uFaz8zoKWyjYfeaRUh
Xsy/0OzbGDVfjlSaFt5VHmyGNsikhMqNxobcV9p4sDG34/GJVP42eVT+8Dce
bPKV07wTlR88jHbLieXBGIpQnhiVmWk4jAsv82CPcR21jh0KCHKZnfEw4cGG
XH3zQqjcPvj5VKs4D9ZXZRUtQWWSlFcL7RY3Vi8ovJW3TYGIy4we9J3c2KJF
pZU+lScdWR+NfePGNNv31+duUUCDOS8qP4Yb6zYJydtN5ROl2WeDL3JjarMi
h29vUqA4y7TK2ogbq7t9uLp0g8pSySq6u6k8nHxja50CVd0HPsIaF1Zx5WmM
NJXdgomzPq1cWFrURSu9NQpwBX216v3ChV3MuUl7YJUCIm/f1oVHc2G6Vrwj
SisUiOv4OhfozoXxJUnoE5cpwF1d2l5vRI3nXmD95y81/vs32gFiXFihYqnf
nUUKeKc5piivc2Kkwvw1ngUK2GxJ4ofyOLEQbXmVRAoFZAmsl6yucWL7yPf8
tueo6zPALnV+LycWpRulZjlLAaUUmesRMxyY2hm92rBpCjxJKSmrz+TAUlz1
c9InKTC4pO9x0JMDW2RNuZAxTgHaVsuEOWUObP6Jj8ujUQp09EVBH4Ud+/U1
fL/TMAX+JVXpCuSxY82nVoO4higQVfeGI92fHWt/29v9vp8Cvydn6KMwdsyn
fvaveC8Fllz3cNUzsWPaY4qRgV0UMJPraL7ewoaF190/i7dT+3/COOJeKht2
lP3G4ZEWCuyNzyDMXGbD2H4VKE03UkBtkPCtWIcN6/g8tNZaR4GJyTt3F4ls
WDztxtdXNRRwD0pbDetkxbKFJ1ytKilwMvDWdd+PrBgzpURrpJQCh0/9YM+/
x4qNfFS3sccpsC96s/vQCVZMzqqakPuLAg+P0CzskmPFzF1PpMx/p8DG5Hic
/A4LFhWteZcnjwL2l6+oeXWwYCPKNaJCX6nrz6j8oSubBTMU+8pM+ESBV8XN
+y9Es2Beh5QHOjIocKbeOY/GnQWz2HvXPC6dAsEmnvHvjFiwwcq9HCovKbA7
+jirqTgLZrcUTPf9OQXKe2+od+wwYxL7C7jkn1JgbCCC68gAMyZg56UT+pgC
ylLfi5/8ZsZub61G1cRQoCmTcvfzS2aM26lIdSuCAnM+Qs1hIcyYxlDoZdFQ
Cqwtn3zN68qMrRZ2RSgFUr+nSN38mBkzJv/s7LKiP9Vf/evfZZSYsaumsuqi
N6j+C+2JesrJjJ0252qnuUqB2Hsqkk+XmLBbMSIxPZcpYPmzsEK0hwnzoS0T
zXKlgENfX54UYsJ2mdi43jhHgbCrfibv3jNhGhuHTu93oPbXpOfii1gmTDwv
hLB+igImSqInGG8yYVf+3Yn9cZwC/HURW6QzTJjUxm5J/yMUeMvCF6xkwoRR
3nTRHjCh+qHOwmhkLxOmIJ/kS8QocPDJp6vMu5iwbe3S0k49KofZjKXRMGEB
Rw7o52pR4NHxAZF304xYzoarTIoqBUK0uXj2tDNiJUfZSx8rUSCckKXDhhgx
uu0g02eyVD2r/OnrWYwYR9edrlwJCpziDwg7mcSIDf7bGz0iSoH8i4N0uaGM
2Bzo2SoKUoDtZ7hK4jVGDHPMFonmpcZXveazcZYRC3dkec7ASYGzthLiU0cZ
MbUhjSspLBTwFPS8ekGPEUu4EshsRaQAhis7eCkwYpRfb79L0VHg+ZRALFGI
EUsmVj/atUOGrHDvE5rMjNimg/cd5Q0yhDQ13lpdJ2JtE8GSF1bIYGy6YHRi
hohJHjuy+WuRDK/eu1sb9RMxt/EbOjoUMrBNX4itbSRiSVLMlW0zZNh7IJh9
qpSInW3wtEycJINJZQPziwIitsN4Q/nmGBlW2L7UDmUSsTcPJr39hskQU5qf
m/uSiK0lC/Q9HSRDorKjLdcTIib+X9NaWx8ZnjvMPFiIJmJ+saGcKj1kqHcM
czsRQsTsCi100jvJUHKDL0zhNhFbYOZzVGmnzm9zZPr6VSImapeMNbeQIc7i
mbzsRSLGYRUXF95Eho0H+3z1zxExc7+CrmMNZCjYN5udaUfEzASnX0jUkYEe
XYj2tCJiZ47pn6KrJUOnTFP4TXMiFjxDuDlbRYbgDU5+ZETEBGKId/sryHD1
18t0IwMiVnzvGrmljAzjOwk5S1rU/HF6z9oSMmR/TBivVyFiiE4qowQnQ4t0
i0ilAhHDX07dKSgmw/EEZv92KSL28fHBife/yNDOePP+0m4iZnt9XfRxIRlu
/KxVFhUkYqk3ekJ9v5PhjKH2vAkPEdM897vkWD4ZIr5b93qyETHPiHclIrlk
COKSeR9JJGK8dXU/B79S66MqUJFEQ8SUH5XpJH8hA3nf3N0nGwSsIT9kt8kn
MvQLeMwHLhGw6METOeMfyXAyYZ+GNZmAHRw48ioggwxSTCyqHJMErOlU6CzL
OzIUPUtIzCERsK2Itqm4N2Ro/O1aAL0ETPSmjxLHKzKsNZ/0L2gjYG2TAbci
Uslgmv5FS7CBgD158q5w+zkZVplvprlXETBPxdzl68nUetxMyEhHBOz2ZTm9
qSdkyAjZ7dVcSMDKDZvizyeQwTY0km8xh4BVdJzbHHpEjb9nvIjxEwHjyqe3
dn9IhvzOPY587wjYWu2m+dJ/1P58rfxOKI2A6T1Uc4qJIsMBX5tVwSQCls7Z
WKYSQQaVTjc93kcE7Bt3x5nBB9T8A2ZqmKIImJrY98yU+9R6N1x1WA8hYOuv
J5FrMBkW7+QMjtwhYIHrATp6gWTwYh+9XulLwIIe/94tco8MpQFD+9O8CNjL
taJZwh0yHCu5fPiiGwETW53zX7tFreeZ849EnQiYzzt8inKTDNgK4+/vtgRs
9r7qm0lfMsiM75VSO07AXGLcDwz4UPup5taLIDMC1mpteu/PVWr/PFW9nQwE
bOiMk27mFTIo8TJeuapDwColzrv6epKBV1+6cGUfAaNYOvOKXSZDNLPcCTFZ
aj0yIl+8dScDlBdxdosSMFVl068bF8ggbqY7xsNLwPaa2/vuciED0UqF8RcT
AVPYWkieP0sG11omcXybAROgqb1314Haz8IvA9kWGbCOFcMDn23JIO/ZavJo
jAGjSfBqv2NNBodl2Rc6XQzYdImpTrcFGeaOn+yl1DBgN9tz3YoPU+cvHMbf
/2TAuL68fyh6iAyHLlQnH8lkwBJH98vMGpBBFV/zq01mwPYvlW9KaFP9W0N7
ViCcAbvuSuOUt48M8yfTvcWuM2Bji/xKz2XJcO/URfGuMwzYsWKcUrubDL/2
6l3UNGXA3DxdaICPDJpbdJMK+xiw3tOSCRRmMuSS9OW+8jFge3HGno6dOZi1
iv6B1umxlEGO3fOLc6Bpb+dt10+Pse81a9MZnwPZxYtR13Eq+82WZHXNgYnZ
zUmeV/RYAkcI29HaOfhOX6FjEESPsW5MnBb4NQd1eKfY8hl6jCaPfpQzaw76
Bm3PmOnSY6+F6uP0n8/BJdXvT4GPHhMwTmlKi5yDK3+FFebm6LCM0JFYzG8O
CjiPDLlU0mFP1wPoFC7MgSKWWfwtlQ5TUp9+4XJ8DpgO6RQu+tJhob8TBpf0
5sCA+W6ogTkd9qJB4CBZZg5ej4WZfdhNh4n9ecDmwDUH1kXjXlYLtJgf5cNB
k41ZmFVLt7cqp8VejBy7WTwyC909KprlT2kxYduAb011s5Diceld9SVabOJJ
g01s/izwj0Q8v6NHi3kqv16lTZuF1jJxxlVWWsz+lrvRgfBZsNXlz3Dop8He
GY11WnjPgs2xOFTyhQa7dj5Q1ch2FgS418fMgmmwnWM+d+UNZyGjY+k7ozUN
lpwnHsQhOwsatjYZwtI02H0JO39ajlkILFfyVpv7B8P//fePfWUGWJTf3VNN
+Af5yzKDMDAD1swhpxz1/sFPhvLt15UzoNB8NLhjeAecXgToGmbPgNu7t79L
Ynbgyy0F893JM3A7d2+4zv4dMCh7/cI0ZAZO11z479jYNhy7ev8A8piBTs+F
W5yJ2+ClbVz08NQMzEykikUZb8NXsUKDfMMZeD72fbxoZQte5o891FKYAVa1
i4ofM7eAc/nkYS6+GcgM3flg5rwF8gbu/cb/psHawmI6dtcWXNXN/Nk8PQ0u
AQsZV5o24VOPklNexzRMH/2o1R69Cev61demSqcBp3s3lW26SfV18KBX9jS8
q+x6ME6/Cd6q9Uu6L6bB29ky5VzpBrAdmfc5GjUNQsRbW/9CNiCVw/xDit80
zEkFiGQZbYD7/ffx0q7TkCnz9NYhhg3o93lOHjwxDc/hFENW5Tq8d66zqYJp
+KGz9rgsah0e3D5m17Z3Ghr3lWldtVgHj9vjj2hEp+HV5cM5j7jX4Uz6jWoT
lmnYEcIHWTvWIDJbnZC2NgXzcqf4Kp+vgUw+10f6iSmo37gb8/7cGoTsJkb7
tE/BBSPj1qfSa7D62JV1pGwKxNE7xdCpVfg7rahzKmcKhLg6/jp8WYXuPac7
S15NwcHrz3Zx+66CkJphnELcFLyNXPV6obMKl9SvLkUFUOOvby2vbq7ACzqr
1GHPKTA8RJMjiVagNeICv6bDFCxe/Wsi9mAFJDL0q4IOT4FUuWD6X7MVSLBk
GK/SnoKtS98/f2BdAb0gDjtOmSmwFGwaMW9cBh47xxR73ik4Vt1MPxa/DGIi
coWZtFOw184yN8p2GU4fvCHDOD8JNDrZMubCy1Bw5+ln34FJsBCaLtUaWAKl
4mLn5bpJaHyu1XD+zRKkW4T4P/41CQqUYrZR9yXgqvUws8ichPQYe696pSWw
0QgR3PdsEno6D2SqL/wFl9VWSd3ISfBtzF2X/f4X+DYJ3r63JqHze11mUcBf
sHzbVURyn4TJSoFmBpO/sDZS4BdpOwm5jSemOdj/wl/AHnuaTsI+slTYZPsi
SPa3+j/UnoQh9YaJFy8X4XyUyL+/spPw3pJUoOmxCGkVT/XSdk2Ck+FiSr7W
IuQ1ytx5yDQJ71YsZyXoFiHyU6JCxfoEhHHmHr/duAAM6rJFB2cmQOnalntu
6gJwcYs9peufgHvdXjdqvBZAPfvHCkPjBJRy6Sl/MliAcf6Xs8YlEyB75+rM
YfYFaLmo7lacOwFBJ/fsihqYh27Pk6aX3k8AXi8cYP11Ht5MJEUaPpuASNnC
vIj78yC3EXhif8wEZJdEBzHZzIOz3zt2i6AJKDMSUcyRm4e6AxvRvtcnQMHC
sRtfogBryiLPG7cJ8ClcTOp4RgG/F78fNJyeAOnShr+nDSnw1TvgKvnoBGRl
pnktk6jnju8+yquG1PFal8/ZU//zBhSt9X61CQhtJ1aryZAhs3ieO1l6AlxH
U+iUy+fgqHXUH+FdE+DUwhO74jwHMqj3syPzBHQ5PK0+uDkLdKfnYq02x+HQ
d9ZfKH4W5OglPlBmx4HQEtOkIEfdJ1M9f6oMjEOK//ALnR8zMH4icg9T4zg8
Sdh58dGEuk8tKI9ew8ch57jfmnHjNEifMJw5nz0OYw5bRu2npuF4OsNOZ9o4
uPH0HtjbMQVMLedmamPHIbfA+5ncySlY6d58pXNvHL6lvSzI+DMJM9JhJiIe
43DU/Znbc6D22ctb1jfsxoE7K/fMypcJWOl5m25kPA70Gbzrv4QmQCcwzStC
dRye2gd9Xwoah9KqTikT0XGQ+XQlM4c0BlyVLleCGMch+qnAPCeMQenjDIL+
4hjsPxQqvy95FLIiFD8F9I2BlGbajNbcCNTeN+SwrByDv+6HwNZwBA4JVH7L
zR6Dcn8r9vL/hsGxijxYkDwGco15zwrbSeBmNhfnHEIdnxuydlOUBG2fC0/8
vDwGJ4I2Qg2ch0A858/+hhNjYBNk/u6D0SDUj3VUvtcdA97PXx04UT+cIYd3
WEqMgcahlyxmun1gjuuHNzONAYfB1ba5Lz1AbKuQ1JsfhSThYJp3Et2weVmS
J7FzFA6p281yxnfC1Z86v6d/jwLtAr7SQtMBTzUfB5m/H4WHcrOe8d5t4P9d
JPJX7CjwnUz0WehtAYY6Uv3Rm6PAPLbr7yPzZpgZqFpmODsKrsL6IruvNULu
ncOGC8ajMEB/cY1oVUc9t6p6CO8dBbuEQUZGzRqqHxyzovhHQcVKsUJndyUI
RHyMNdsZAa3/XLbfspWBgnD/hOPECKgntt09So+gaNGnt75pBKqq1X3VGX5C
UYdjT/rPEaiQPi7dy5sHwas7n0bejsA+7vpBN+9PQH9Z/nZ83AiYRYq/DRx8
BdLPiGV5d0agOtFYz3I1DNoqJQIs3UdAh/LHeqcxHL/pf4rhgvUI/Dzed/JJ
7it8abVMcZlaN09ejoriwCycH3UZMCpT8zNc7/7NnItnb2szpgiNAOVGxgRx
/w98kPZ73zfGEehmPzbjZV6Mn/559sWxlWGQfU5aeLmnBI+Qt/nuOTYMHXen
S32jyvDhrlFtzvZhYMgJmloYrcD3OHiUalcMw0dL8dPjqtX4pbwT70j5w2AS
cO23/JVa/N0QeztHxjBoxqWdevGsDv8G3KtFycOwxVj9XqWgAX/KXek+HT0M
wTYqqt4uTXj9bLj+k4BhuFZe+V/ruWbcTyvJ8te1YVglHI85btuCJyWKHHRw
HQbL+18EKcatuP1VnvtXTw9DZC8Yliu14Yedjp1aOzYM7x96CIyztOOJDg5t
CweHwfTQ84/XhtvxysvXtk/rDIPyXOSfBzkd+LLe6yzFvcPQnTKxZHa3E/cx
4ki9IDUMt93mREcNunDv/9h9aYSHQfvEeHzEaheeF3U8d5trGA4blXa6ZnXj
RjMMNXZMwyA0nH4r53QPzubBQGSlGQal/66OZP7rwV+lzqfzrpHAQcPhSMyr
Xryr7mzFlXkSsNvd9k3W78Pj8FU//ikSqI8cS+Jr7sN1HmV8JQ6T4ID4aV1z
l348I6DQ9kAvCYJfvKe9P9uPFxTR6ee3kYB/l/NTdt8BfMGccY9HAwnkPWxv
HlgewI1+iX21qyZB/c3EejffQTyL+2W8fykJbFjmTvfPDeLj0Wun/xSR4MNU
+fNA9SFc1Hcs6vB3EoyKF5975DWEJ69Ev5r9RoIIfYl863dDuOvfl+y5n0jw
eJeWxXLfEM75J35/UgYJOtvD8A+8JPywZnZw4hsS7D7+7WaaOQl/wmZs+D6V
mm/U3mSmIBJOp1hTVpVMgoK9XJtCeST8jzLh3FICVW8QxUKcIuGkv3oOcnEk
aNWLz6bZM4zLPd+94xhNgoMtreKGJ6l3DK+iJ7FhJPg6jGctRg7j9y5r+X4P
JsHdbqcAa3wYT3W5utR2lzofcbfn45Vh/LVwWwTJjwQXFpJ+De8bwW9dY/nW
5UMCyhdPyu1LI7jera/sBV4kMNSmiQ5LH8HHXvA73LxIAtkC2579QyO42J+l
mzznSfBouqOsZM8ovhO573LUGRL89hGNsDg3ipeLhl7qsCXBA4nyaMY3o3jG
52M9y1YkyDujKy00MYqnuOk6jh4hgdelUOeP+8Zw2gRCWZoxlUt46vtuj+H3
a7UUJA2p9fV5iLVXjOFlTM1TnjokSL/wOv0b/ziu3Cac6a9KgvVfVYWxl8bx
z04WZ80VSHBVUXQ65Pc4HpRx0rxbggSmB2WY0ndN4JMvQlnlhUmgVvtGlO7G
BM5geDpVk4cERSKO+z61TuD3ipTsd5hJEOc9yZKpPYkfT1vYeUBLghT1cE6a
1En89eD8j+q1IQh1HVj4TJzC3fgCxWspQxAmPh/1xXcKv6/13Ch6fAi++ob/
WB2Zwo+31r5m6R+CMka1p3fspvGta+OqFq1DoMFe/1uqYRr/aCJ89FTNECyd
l0vrNZvBr31oy5LEh0D2d1pRePkMXn8v2/1X3hDsNFewEo1n8Zw0h0GJzCE4
cYugoVM5iw9ZhpfYvxwClzbDvqUjczjry/o198Qh8H1whWZXyxwuPvDqg0XU
EJBwc01fRzIewKAqzRNIfR86vdQ3TsblxG3Gf1wfArsfF5dkblBwppLAKNOL
Q9Cy11AjjnYeV3F7juOOQ6B2MvF9rfk8vjW6Y65gNQQhwpnnP8XP45cGbRci
jIfg+a4fCiJ987im7H8BQ/uHoPg7W/K2zAKuqvj5s87eIUizOXtE79oCfvEi
SSVeYgg4LXYx/Pi5gLs1mz9b4h8CGs5v7WcJi/hlmD97gWUIdLQ2jXitFvFj
31weV2wPwrmnPpfR80WcTGM+Pjc+CMX2MbKWY4u4QZjAXbOmQZBk5TZ8r/IX
Xwu8EttdOAi5Xy4E5/r/xZ+qTlVlpg/C555H8y5lf/G7BnvUS2IHoe2S5Ega
2xI+niwhI3l7ELI/ZLDY2yzh+2mij7acH4QNBaaA4NQlvH1l5V27xSAcion7
QRxbwgdsy+NUdAdB+fj6hwGlZXymt7hsWHoQsDf3Pm35LOMFX1qcF7gGoUWz
K9n2+zI+MV9NPrM9ANJEJzSyuYx/PLxwXnZ6AEy1/q28gBXc36tH2rJzADaa
7JLu3V/Bx78w8LaVD0B7xs+IwPIVXCT6ScT3nAGgEzwArwireIUS69nVVwPg
PlhaO2SyimfQzC8+jhuAhzPMLVjYKn4Be6geFjgANxUKXpSWreIy/ukJDVcG
oNzm7C4P2jX8ogifhOfZAXhVF99lYLiGPyS8DLCzGIA4+78yRnfW8N+cjyfj
DgxAOqPa+v38Nfx20m0jrn0DoLawh8Ayv4afY+3mbtszAASu4p8jCuv4sN9A
RAfnAGixG1vuubCOb7Jzh/HQDgALt1pRTco6PvCDKe3+Yj8oJpxoWG1dx3+9
FBeXGO0HDsVG8SLWDfxGgaLAZHs/TCcHyyof2sD9FPUsmqv6YYnhkPC5O1Ru
QI4dhf3wvlUZXfm2gcuR4r/MZ/WDXE417/XJDfxa84FkobR+CO9+shwutonL
jt10PvKoH7qsI7uqbDfxmMHQk/fu90O6ftRVq4eb+GJGTvOHG/3AxrLqYFC5
iZvMFznVuPfDepNMx/udTTy/V+9b5+l+ePpg0DVTZws/9I6ztP5IP2CGo8HO
Plv4OdPO3ncG/cAS4mFGytrCfXefynTY1w/DAS9lD01s4dGJfeYTYv2Qbyf3
33Opbby/qtrWjLsfSBdTY9edt/HrykNbfnT91Hsr36urL7fxb9pVRN+/fbCs
m6TPPLiN79Bcmds/2gfh0h9iG8V2cPPF2xOVbX2gLlYqU+2yg39y/bEmUtEH
HfFdb5be7uDEYzG0+/P7QORHp7P11A4e1WfbIPKuD972Ssv27PuHO6lNydYk
9kHimz3NQTf/4Rp/5/uNHvSBt2UqQb34H9604zYU49sHPcG6c7N0NKiEdc34
0/k+qKf1O/RZjgbNWt9zzDjRR/WTVVT1MRokHDT6Kwzrg2GVNnHF6zTIVE7O
3EqlDzwu7sT8TKJBYpdj+bn39MHgZnrLuWIaxM6+qNfK1gemnAE928M0SHcp
KufNZi/8W1Zr9WOiRdnhn5RjpnshYO5iQtZeWuQt8WLyRXcvOLTWb961pkWx
Dyxjhqt7gadP3r7KjxYdO6i15fGjF7bMXSq9ntMiGXmihvGHXpCTjnt4tJgW
/S0IFbqX3AvSc8S4Q4O0iC7CxEk8qhcYHdyfadHQIZlfwRaGd3rhAPPrdnpx
OtR8penDsGcvuOiyS8cb0iFMbCdQyKkXVIOvBVU60iEfqVp6slUv2IWwnYu6
RYccufIuehj3wqV3WYKVj+nQvFJZdtL+Xvja9NnIM5MOmfRYxgbs7QVuYX4B
zxI69IK1SktSqhc2Q+KbfnXQodjMe3rRQr2g/DFe4PQ0HeJk8XD+wUUdH3HE
BrboUPLJzVufmXohT6pc2o+NHqkvd2heoqXmd3jmI1GEHiVxvieMbfRAscHz
NRp5emQ12jeze7kHsHtJvnc16NGTTodTLPM9cP0J+2r8AXo0cYtCeDnTA6Ge
Mnc9TOkRW4avWcNED7ClCYcoWtKjkOoqkcjRHvBYxAJpbOhRU+jHwJ+kHtAu
Zjbb40iPGCOiXp8Y7IG0o8x3Cp3pEYe5i/z+/h74c2xrmsWdHvHVRbrb9faA
ln49u6Undfy5mJSk7h7YU/nMBV2jR8yudKpDnT0wqPej95UfPeplcVnc1dED
TuQia5UAeqQs0nZSpq0Hzr0Pmsp6QI+2cnjekZt7YIlO4o5tLD2qZdY66dDY
A10TnLTeSfSITiNa+nhdD7SPcTCpptMjy6ErN/Oqe2DfW13urq/0iFZ6z83r
5T1ANmehe4nokZfG4/PX8R5wnnB6+LOFHh1VOFqTVthD3T8D089M0CO5ao3f
Izk9MGQl3pqzQ4/eG3iJqmT1AF/wld9jggyIMCRdeu1ND2xRHS+ozYCcN67X
P0/ugQpHIdFLtgxINky2+3VsD0jTGJGm/RmQ19xL3YCQHrgnnd+f/YrKHe90
5W70gLHKB7PftQxIil3PNtWNqg/5rsS/xoAqHtg7D9n0QCDt/aIseQI6Lxhx
Zsm4B4QSlId9zhDQ+qmDh4fUe+BbqUOdVQIB8d68NfBZrAfWb8o9UKonoINn
dhwvs/aA+fPdgYPMRPQ7nmAssdINZ1tVlU3MiYjpYIz0+GA36CsWxKn+R0Qn
lTocaqu7YfvXmT8+jUSk8nmok/S1G/wvyea38zMimfzO0YPJ3WAU4nxJ1okR
iaPoCZqgbtC5/aJT6QMjUmsnyWq7dcN/Dz84ffrLiNaDrePWj3SDd2jkqSsY
EzJuPnXrgmo3lBh5p2o8ZEJZVl0XYvi7QSkxx6C8jwmx0xXWxWx0QVhN/fio
EjPSOaNJujfYBWtXrBLO3GVGZ02cjt0o74JPS70cS7XMqJjj6XrUxy5wvSgS
6yfMgjSubXa1PuyCF/xFejmXWdD30JF09xtdIHXIvfH2Dxa0iSxe2zh0QXtH
vtgrIisirJ/2yMG64D2zRjbdKVb06cSPLzFyXVDGd9Qo+BUrsjsov77A0QVn
29W8d2ZYkf7WjxtzK51QIum1eEmbDXXerayKGOyEN8OXIr8FsSHS8qpMVXUn
eLSU3musYkM/ZmdvZed0QuQhT1Ocgx2tfcNDjVI7gamrbff9U+yIZyqCPziy
E6xhT+LuZ+yojrlfzv1GJxQuGiim9LGjseHTbAvOnTC0IDfJKMaBnosKJ4pY
dsLrILolX2cOtPeX6f5B/U6wGDBVWHzFgcJePzTSVOyEF2wL2UlDHOgX75dl
bqFOYL//MeGuGCdK053P92bqhNszFIeCs5zI5vU3NWytA1omTNJcUjjRUMlw
1N3JDogpt3+Z1MWJvgVE3+Hv7gC1VMFrhSxcSPXd4VC62g6Y5lPsJypwobP+
XZw6vzqgM2tzAzPjQqf3JbzK+NQBY4kJqjfcuNDElcXFw2kdUKXmr/EplAtx
9vAocj3qgP0+R1r/vuZC2XHaq4shHeCy90TFKcSFVj6YlU74dgAxWvBa5wAX
YkMOLWNuHTBjTff9/jYXSvBR8xuz64Bl+74KR1FuZDlYpDxk3gF5BSb9bvrc
KMKIs75JvwN4ulQ13zhwI2nJJy9z93bAf5HbHFx3uNGn7PkT4WIdwFSRPfPp
GTd6XCXaZ8ZN/f4bK19uFHKjdNp/rmt0HWAhod7s0s2N3EvWZZ8ttUPd57v/
XVnnRgGmgaeUx9vhKmcWwyMhHrRTlLaV19kOwwxOgUiXB01bvKJo17SDacNO
yLI9DwpWiU0v+NkOq6O17DJ3eFBafqWg7qd2OJXbXWL8nAdpnk/6XZbaDh+O
SbEf+cmDopbL7c7EtcOIdISDYg8PqgqUHGQKaYf71S0Hetd5kJaXpFfj9Xaw
Sax+ZS3Eiz6mXNpV4NoOJ67Izofv50VbHmcGS23b4dLtT4ev2vEii+qfMZuH
2+Fsi9Rbej9edNtIPslNvx2CzdyIBxJ50U2hMmbivnbIYHXO5M/hRQWW+RdJ
4u3Q4iOuEtXIi2LyKx9t8raD7NuO8sRZXhRNT3lnx9gO2Y799jrMfGh8aGJu
daMNZJJRlY8MHyKt/S7sJ7fBVztjGrODfEiZ5ZI580gbjLFl6Bad4UOTifhX
/842KLJdJnbf4kPbcdtVynVt0Puy/EBGPB+qrFPVFStpA0+af1Xqn/lQo4vi
s2MFbVDcP30jqooPXcjtDs7OagPOaPXanyQ+xHHvw/uDr9uAbXSmrXOTDwm2
d6xuPm2DrJWXG4v8/EgAOr91xLRBQbJ1rZgqP7qcmXm35n4b+LNF118/wo9K
gwyC/txug6CXtva0bvzo/Yff91u920D1iMM5UhA/Wk0i0HW5tsGt402GCin8
yMd61KzRoQ3C+hKfUAr4kdqtyIhsqzZw/KDMfbSVHxkf7lj2Nm2D+IQ6sJ7n
R/y55cP0Bm2wYebiIsIhgGjtC1tc1drApOvp/iJlATSdNJoUKdsGOeeGes2P
CaCH8ame7iLU9XkdFN7lJYAMdX8zrnC2QdnHmMt3HwogI+t/uApDGyCP7XvG
3wSQx/1TKWxrrdDu9NnKuF0AxdocvhI+0wpScm79URsCiN/sNCVpoBWslYZt
JCV2oTu1Vj0Gza3ArTuwKmi+Cw2c/PjPp6wVjgy97Pe7vgs53g85r5XfCi/7
r/QbpVL1aNM0/H0r6M0YxYTU7EK9WZIKbknU+K9dLbVWd6HsRaXM1ohW0OUO
veQkK4hUT54JaLvVCpcudHFt2goirpSZU54XW6HU53AwY5Qg2nw/2fDCthWC
XIPpA4sEkdD53ee9TVrByFKAzW5BELlWLB4Z12gFtuoPB6PkhJBp56nbrJKt
EBC7E898TgitZT69PcbZCsOCsmZ/koQQg7Ot+73tFlCFJxyoWQjhEi7tXdMt
cLLuMF8XmzDKk03C6bta4IDYKAeduTDa97XRh1jRAi0VTSeUwoXRK+bi29Pf
WuC0kBP1EiSMFCKbYgvTWkCjZ+iGIr0IYoze8yDgvxawrWt512Ykgoh+RlrY
7RbQObk4LBsqgth/GXmzurVAM/v5R0zlIiik8Ubf5IkWWL9eze9MEEU1qi4b
JMMWcLpylcJjJorw8xlb/5RaIGj1Ak6IEkVqFNLvo0ItIPbjiZPoH1F0zC36
az2xBTJTV+Z02XcjPfv+ktilZjh2jTCJHd+NfJ5NWSUMNwOjhtYB3se7kckE
nchYUzO8jp74L75lN3qfeVo3Cm8G/pVDF17x7kFR8vMSYV+aQXnTP3zPqT3o
KaXmQ39qM5idpFelJOxBJcaMtEmxzeAmOH5quWUPGovj/J0X0AwVCysTfNxi
6HZ1fpuudzO0YyK7NSzFEPvw2Rfy55qBYPnfJ+1oMUTQlWy6b9UMt2/yCTBV
iCHdf2tx5kbNQHPKcfTxjhi696HbJUCzGdbWOW47i4gjW7th9T1yzdC79fNE
qbY4SjEPOK0k3Ayhl2LTLp4QR/Qm4Y/T2ZshY7aZ+ainOGqnv8YYRtsMvuZu
s5ceiKPg15eP1y83QaObrTf+QhzpMj7w9J9ugma3iA+WeeLo/enOP2GDTaBa
Ylkp+EcceTt/OE5ua4Ise0E5SZI4mtyKNf1S2wTnHhODfVbE0aeYpz4INYG1
S8I2J6sEOuB4hUHsexP8uKrmxiwmgT6yB78v+9wEIbJz2l7qEkiaU/pGxtsm
iK1hbzQ3kUCft3/9K01pggKfjPACOwkUY0o8yZHQBN803/6ouSyB9r15vhQc
3QTXpCeDU+9KoOA5whr3/SbouDt7zjJWAl0f5uP54d8EFdlH+zfSJFAQzeHP
l32aQCbYQrHsqwTSvmm2I3q5CYaYfMurSyXQJwY7wWrnJqBtpRPc1y6BCIs1
tC6nm+DVWKKkwKQEIk76Vfcfb4LtjjT+t5sSyJek9FTTrAnu9/9b2+CURNnc
khWOhk1QPhRjcUBGEunW+yyZazXBs+gX2TH6kkjkerjoilITsJ5O8Gc+KYnC
rOLT7SSb4GbmVfcWT6o+ge66u2AThHbZaDKESyJh+b9EEY4mUABRs8LXkujT
hzcx3vTU+NadR5hxarywuu78+UYQ+OrWwTQgiWgw/T/53Y1weO8We82OJOp5
ZaHXVtII29PfTOwkpFCey9srLB8b4agb29siEym08+FTw8m4Ruh48F/5tqcU
cu6J4PlyoxH+ZGs5CCdKoaGLf88L2TdCb49UC9tvKdTzRjUi2aARlJ6zr9RM
SSHF2Fk2NbFGePZj/RG2SxrFPdW8NkPTCPSOb4/am0qjDa9fiq2kBkh/eFxg
1U8adYxcf7BS0gD8rua1qx+k0X9zN4+6v26Ay4+e1mv2SaPckH/RWsENwMqR
WhDKJYPuhboY+Ts1QERxA6XARAZNZGyKHDZogPfEU45pd2UQ3xl16Z9CDWDk
X7DCmCODQrLcgidX6kHE+79ANCmDbshOysy11sNcxh6eRDFZJFy9/Gj4az3s
WxLttLSVRfT9mXdHYuthT51hanGMLNKf2khk8ayH9OXFkC+lsujrwwyd64fr
gUeaOXFhVRaF++pIaMrWg8OzM7fsleXQQfk5+csM9VBdGchUdE4OKXH8XpEf
qYPBOReav4/l0LMD5j+jSuvAu4Q+ua9UDkl7NZBevqkDW6Kg8plFOcTfKt0c
EFoHcZq5Qw7i8ug//pxkDbc6YBFcNq4+Jo/6ZF0+NZjVQZBP7srzW/KoX/XZ
c3ulOvgvSdq0+ZU82nNHs6yXsw6u7Iru9qmWR9bHbnHYL/+BIZteqxiyPHrS
Q3zb3PsHUins47q8CshP1jD9YNkfsLx3IT9VWwGVNXL8e5VF1ceclx09rYDc
M3fnjST+gQ229q2DdxRQgKGn5EbgH8i44Or+97kCemnmcKn58h8gJGox6f9S
QJMaBcUnbf7A7NkwNpdeBSSfXthw6eAfCHAyVs3ZVEAC43y7Vvb+gQXV3KZA
UUXkFrBkMCj8B/jjdtaEDBXRTjKjF5GJytd7r3Y5K6I9SeFfjy3XAr+GVAVn
mCK6EaprHT9cCxVZV8/xZykij6eBKt8ba0HS7nvUgVaqPs9KMKWoFmSvTwX3
bCui3BkLhT0fa0FXNDpEX0kJua4Uy0o8qQXR25btWY5K6GNBcmdYcC3Y1P0Y
8olTQj7fY5xVPGuB9m2eakOlEtLKIryks6kFb4p65AatMpKfUX8wfqAW0qUr
5+QPKiOPFfZr5TK1YOZsWHj/gTLateAcE8lWCythJq/l6pRRtFS9nORiDai7
bFYrC+5FV/ybuR501MBGxeP6lEt70V+a5vm3hTVQ8XWy1ad4LxL1EMoISqmB
BoWe52kC+5At/dk3vPdqoCrvHCPDjX1IOWyC282xBtKuMo77te9D8Weefb2n
WwPJyEgW6amgs2WpFy8K1MChClfhtHQV1GObSNFarIZI56beYUZVZPrlp89W
XTWcN2WY8QFVpLHAr9Dyvhqu3jfZf/y2KlL2fkHfHFQN9w38F4/kqCIOtXOH
+E9Xw+nYBSGNOVUU+SxXrFilGrbzvcTb5NVQ0cIZ90liNfjb8UWtu6qhOIYC
0R/9VSCeeS/S+7Ua0szrEbfMqwK6/PS3O/1qqPhRc21ddBXEh82f8hNWR97e
+bG2LlVAcld/k26rjry2BpLZ91fBYaFXlbbx6ojNkcOfl7MKGpk768/XqyO3
nMTCyPFKiI7q0Uxj1EDN1QFhMb8r4QiBN3oE00AOzwoPGyRVQqOBBTuPvway
mDY5kXutEu7eKTzO8VUDPR2xu8ZytBIKaqdbS8c00Ml3YSl2spVwVKPjs7iw
JrIfoMR+pqsE+plmSXELTZRw3vOyyFAFjD1KNC8J1ETFJZl2n35XwHk/yGDL
1kS3rk0qX0yrgMSfkUG8A5ro+vhLNcugCuBmRi4UVi1kl+11/JxLBUQq/r1U
sl8L8V5bc000roDejN3+31y10Ebg5ZQR+Qro9zp9by5OCx291/wLOCrggifz
qw8/tdDx6ZQHyUvlIG3IGy88poUKK7Z2enrL4cEfht+BnNpoffe5toWyciic
PBzNq6eN7n5uTa/4VA4JWzZPhNy00ZpPkN2Bp+Vw9k3/YssjbdRgzHLHMLgc
Fo5tXbpfrI10fNljPnuUg+/Upc8eM9ros+19e2+bcnC7//ZNvbAOkpxTPe6K
lUPMsMKTmaM6yMlnT9N1pXLI1Um9TRekg4z+bkYHCJRDT/6mtEWeDto1n9h4
ibYcenX/JNDN6qCB6QOjQrNlEDdrvttGdj9KYDjkeKujDN6Mpeb7XNiPQhNt
L11GZeDTwKAYlL4fpaN/Wj0fy4AljN4pdXw/KuJn1i+ILwNx/EnkqLIuahOj
xM3eKYOyT2d9XP100V2648ZXz5eBekrrZ6kyXSTNbZOnYV4GVtvvSHt49VBf
7XSfukoZqKTRWx9210Pem6fiLvOVQfXnc0cji/RQ9DMF6661UuBeF+sp5tdH
zLX5EqF9pXA04m447qOP3plKqfjgpVCibc91pkkftZenvvz0uhSe2O9TclQz
QPlnbh81Ci0FzpP9uoGJBqicYh1w0LUUTmsmsoSsGyAUB99+GZeChX1WvLDz
ARQ/NnGyXLoUeggPMrerDiCm5JyQawyl4E53saZb1RAV5kxWdIyUwEHdCyWO
zw1RH1tvN0dZCTidVL67jwEQ51dGV7U3JSBls/5t8wogK4DvdiElkKt/Idur
E9C7s7WPU5xLoKzudSi/OIb28Mf1CWAl0Pys5uP8SQxFHdD2GBErAaPj0mu7
IzBkP2JVIExTAm5XUnpvFGLowZeAt+1DCEzWl882TGPI2PwhKJci4PlTFUoQ
OYg2Kj/d1nqL4Hafc+aq+UHExhoyToxAYJdUNPbg1kGUrmL7IM8DwbaUj9Oj
9IPo9Sz4WB1H8Op7WjZNw0F0aweypzUR/A+zRwMA
      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJxTTMoPSmViYGBQAGIQfdNNgkG5lNNBbvkLD73/7+1zwpKtNOWYHbTbxW6e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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJwVV3c81d8fvtfeWZVRRmU0yEpI3p9SKWVWGpTCFy2raMkoSVJmRmSESEKy
1/kY2XvL3pt7L9e41s/vr/N6Xs/7eZ73OeeP8z7iZraG/9ERCIRT9ATC/9eu
cwKE/Y6sWGeF2zA++Qp0VG2wPj1WzOfCZVrKtAsYrY1VtEuxYg1H4nabENxg
1ed1MMcGC8awfvSUTZAbyM9hya4NLJgFb90qp4I7EET3scpFsWALti9Pnehy
h/9EJX/tfciCJfOfEFh6/xrM5i+FnldmwQIIHC4aZ97A0qfg6rQNZixecc6B
n8UDRDfpzhiVMGMTvwaXnrZ5wKB6AIOqBzN2xXaM9V7yW1C7eIbjhiYzNvd0
/ee4jydIHxQ0ztpiwrIr9vcuOL2DlHZusn4uE5Z42+Trx/teYPaoSiXMngmT
fH3trOHz99DLNBixdZAJ+/S0XKY/wxvEYq/t9RhixPo0fhgp7fUB6dMyeZLh
jJhY5xYySP8IK8N3H49fZsTOaFbfO/7EFz55Uc+XczBihzCGJIfffjB9dEKt
9C8DlqR1C8kgf+D+p3qhz4UBE1EhLV4aDoA1z6nHu1UYMA+eQu3GvUHwS5mW
Z0OmxwZaSvFsm88gNWktMpJEj8m7Mlyjbw8Gq0jlyKcW9NhTPlfOP5dD4ZGR
udpBEXos209xpHw8DNR45ikrHXTYxJJ4t0ZAONTXd1WM+dNh/Oe0KUKXv8JB
3/25lIt0mLJL8kHjQ1Fw0bC2fA8THfZNLw7f+hANSgKtJAuciMVd8V2n/xQD
wwNqx2teELEDuiHn1cK/wY1kwhe9Y0RMXL0g7tufWAh+ISFImSdggSKb3Cc7
4iD84o+M9CQC5ko1+cjK9B0sRX0e+v9HwKbxTkEWLAGWqXXYJzEC1uRmn6Xy
NhEiI3vNDLO3QPaYlHl42w8YMOp1LpPZAoa+VVE5+Z9wpVbZtCd+E9yHLwef
CEyGuKy3YfTim5D7K8qWbvkXNO2sPqwWtQF56r0/PUxSoXuSfpeb2AbAeU+J
wbtpgCsoXm+LWwfP1uDvt3b9BjfSNYrqkXU4qinWlV3zG/budxj5lbUGKkH7
Cufd0yGs2l1W/swaxFV8NWRU/QNzY56Npa00cOr1D1sh/QGxZ+7V/1nTILFt
07/qRwYcdbHfs3trFU6kjZx4Zp4JQqtG5R2hqyD/SDOEQSQLxifkKxOOrcIr
DuE4m64s8NGh2/eubQVUPj0wy/qcDexSlS2Oz1bAkKLU3G2YA1aOb3ofi6xA
s8rThT7uXIhWUQL3imXIuKtQjhpyIcPu38rXx8uw8tBS28U3D+L2OrFV71uG
iJt8bkL6+WAPzE8Y25Yg7pCqVRBPAQi1fzym770EXL0dW9MtBRA9yKqXdHoJ
euznL4iHFAKd2Uucb5MKHJOuZ5WMi0Dj2tB7nwIqfD39nnJADMGNYo2f/C5U
8HdhN1gYRaAb7Xcg+TQVnui+SdMzwuFDSHS8PisV/HIk9+jk4uCofbxvq3ER
blrdcDokXAwcuVfqc8MWofmmMBp/WQxXh1ccXcwXYS3g4ZJHdzFoV+1v05Hd
5nfo7KFTK4G5+23TUrQFuNFUIGcaUgJYJWceR8UCfOzIV4xYKIHTg7WwHrQA
Dvu0JXJ1S4GSyftqyXwBmNKtGLMSS8HgXL/9muLC9vXztwYQy8AkQEGEnXEB
VKP0/fVulIHgF47XEh0U6FoXPjmTWgbOtx591U6igFyUU4c141/43HPF7oUL
BWQ979z5e+Mv3NpdSsu4TIHu310dxF9/oZkzR512kAIq+4ZOimz9hSWkqKxN
pMDpjucBQvrlUCWjPB7XRYa1xui2pahy0L6G9Nj+kMF8xzXmP3Pl8EK9wfbF
RzK8DIiQ0lOvgOu9/2lRrclw6qa9co1XBYyqvml/cZYMWZZtilKtFSBmKLWX
fT8ZerIrRc1FKoFN0lD4O5EMaToXaS5WlRCbSd90cZAECtK3Sl+kVsIkQV1j
vZgEZlqbL4yWKqH3cdzY11gSyOx67ldwogpcXozp7PYkgcvW7sfXXKugmp/u
ifU9EhjSd++TKq6CktPL1/11SPBTvCTqMLEaLBnK1/0VSPDuZt2kBVRD5g0b
0/sCJJj8tU5oeVkN5m8HiMc256FJWH/UMasa0l1CSs7UzYN6XEWwznw1XI8i
Ehki5+GIlvnOm5I1YDQuUuhgNw9RDPvvhhvXwC+j+SW/M/MQ2sP0gse3Boxn
HVJuC83DzgauOwV4Ddz++WO4mzwHwj1qfBGkGijwCwxmqZmDb/QfAtNEasHh
q1zFSPwc/Dq7NbCqXQuuTW6Odq/n4MS3kLWnjrUwesQj5uedOdAXvDJ8KLIW
YlPVLgZjczCZpBTK+7cWcm7EOcjtmwOma6pCR6dq4cDh4t0vGOfg+16ze26c
dTC531/t8dQs1G6mvGU6WgfMZ/i7hZtm4RlN1LZYtw6cP2ivPs6dhUTuTInf
D+vgHE3x88vYWbh5yuZHm1cdPPRrTFHwnYUgn4s02dg6GNcROxfmPAv6lEsC
hfl14LaPQu65Pwu/M6KPm7XUAW2D/8LhG7PQsdPRhzBdB9cGvC56aM1C0c7q
XaF09RBUpbM6fmwWrDOi2qWF6iEz19zQ6MAstJOpNeny9ZCVVm3UwDsLLPW1
S8cu1MOXlNdMl4mzsHX+wLX0O/Vg+ufD3cH5Gcg2W5+RelYPTGjU6kXfDCgK
X80J9q2HT01+giJ1M+DgIJu7+b0eaFM+TrX5M+Bk7TVvWlQPWuz/XN4mzYDG
hplxXls9PFF4pnAhbAaq5YrWOWfr4e0dK//dXjMgSP+l5SZDAzz7nBBOcpqB
g0+W+qOFG+Bik4pB638zsPGmRXxAoQG2+ITTS67MQJCCfJiAdgOE3tItytec
AZLrjnPadxuAJ6XZESnMANdDG2nHZw3wiDGxs058m1/SwcJ8GyDRvH5sjHsG
gsVSPmZ9b4DKyrPRbIQZ2Jz4xF1XuI2VuBhV56fhkD6psqe1AZISpHY69E2D
kFFz1uh0A9iIBzRm1k2D5Suh2cfERuD/pnOcoXAaxEV9wsgcjSBc8HTPwM9p
YKAzicUFGmGdKHu5NmwaGndL1x2TaITcx3bdlZ7T8O4OaZeBQiNc5YHMNoft
vJ4MN16sEWr/hQ1Qbk1Dtrcj2wvdRhBtdLsldn4a5B4qZLy71Qh65IXDt+Wn
Icht+tWJR41grLFwMVlwGoYqoq0+v2oEzWyXQjbiNAifNrT//KkR2EyC3Z6P
TwE2v/XlRHQjJB1R+7xSOwV6DT9G3qU3bs8799fe/Z6C80N6ui/+NoKbgeQf
qc9TICtN6eDt2u433qag4+kUEGL83A1mG6FaQnN36I0pyLt0+KIyXRPkNcWW
WqtNwZ3DJUrFu5vA64df8QWhKaCoX9WgyDSB3C9WnhOrk2DjPmJVdaYJMnq4
0tU7JqFtxfb3OZMm2KUSHaebMQlSsctC9580wWVUOGHnNwkWbi/jFD82ga2D
lUvsg0n44LemE/u9CSwNvv43dnYSolqe7s7Fm0DVxDRSVXQSIi6QCI7dTTAR
8Ev66/IEvKVYsHUsNcET6jsGnoYJuFHfptjP2wwZLzpvR8VNQJYeR0SFXDO8
FHxvYfh0Ao5PNt2tNmiGyqawnYe0JqDvi+TbccdmiI5lc5Dkn4BkCzYm0a/N
sPGp+7lW3zhEnns1YlfRDCOBHDIf48chC3MV611sBsP0rx+W740D1ZA7z1yi
BbSnPn32PDwON1/J/Wa40QKVJwa01abGYBj1M+K+LVD/3f8n7/cxCBQSyflc
1QK3D8dm7zAdA+uP0xVvmVrhcRW/rfzOMbAQOH/M71wrsLqPNT2tHAWffEVC
5vtWkDMUGBh6NgotTinSiw2t0KOeFOYgOQqYdk6KjmAb8J+K2JRsGoGWYwYB
xf+1QfPtOS7C8xHwUX3eopfZBkLB0dUbe0fg/lU5hxXmdhgfS5cXw4fh0Xsn
m/xb7XDSQOKMlekwBLddrAzNagfhtmViy9oQjKmmufrxdsBrh0MPzD8PgXFW
bNA3+w6wO1joKnBkCJa0JZkbWjpgbDUVKGgQspaPd+xU7YSRYbqfJP1B+FrQ
yfA0phPuj2cW8/UPwI8wFj8KRxeMtf6sm3g4AINfXecPP+8Cr9VP8rTVfrjQ
SQ0rH+4C1iKeczEi/TB4/oFvyaV/YLDc31mu1QdJ8/0Nohn/wCR+dfK+Yy/E
1V427hPsBpnK288/JvRAY3+5/Oarbig33fFOtq8bjhxUvew60A0HHrLz6W7X
5SQmobuneuDsrOHemev/wPG28NP46B44Mjwaz/K1C8y0PzzX3uyBTp2y5NjR
TnB7SCvXv9kLOjJz8oUKndBYZm2ak9ELtu7mx656dMD1y+2n3Tn7wEb7QPaD
f+3AKqBp/9OiDxS85LIJx9phijd1SjmvD/LUvI7xB7XBqqZQ6n6ufmAxO6zw
fbkVTv70KLK/0w97NwV/ZZm2Qtr5OQHx3/1A5bry/WxtCxz8dLhfgDAAgUFd
ey+fbAG+QNOOJsmB7f9PEl9/ejPsVORzzL80AOKb5e8mjzSDnM25nDb7AeAe
kn3h8LMJzM6sRosFD0CZ2tDUc9kmSMk8fDQidwA0WAa7tjIbgbek1+x8zwC8
0j6sxXC6ET7d26EusTkAFZ7eb/bGNECvkm3WR9FBiLpn+VsH1UNu8s+6HmwQ
3p2c2h3WVwf7msrcec0GwYVuV/bWZi0Ifctrln0zCG9yJj+5i9VCtOhHXD5u
EEJN/4sS0ayB9AvqF4X/DkLustdEu2U1GIpVOkyPDsK025X7SR+qwD1W7vg3
piE4tFZxIOx3Jai3OIaC1BA8tRzeHdtZAW9TQ4JLtYagpeS7ZiWhAoxVguVl
rYdAg5s3keVQOeCP7O+5eg1BpK7EWYsrfyFT76BGduIQSLgMCHW7loFSX2Fq
W+UQ5EdqHnyUXAqnBI8W/ZsYAtM0XTuhfyXQQ3h1r5xlGHj/EElDLCXA8Dnh
d6j0MLR8N0ksVymGvLaUYIPzw/Dtg2nY33s4rJcECJCthoFQyu+JjiOoN7l8
/Om7YejSz9M+FFkIR2JJlOHvw1CPp7rVMBWAQPD9i8fLh2GQlyoVa58HAceK
MfvRYdih5Y397suBUPfFZn+GETC5ZVtN1ckG2RcMdGH7R+Dv1bi/digT9EXJ
dZ6nR0CyYP1upFIGcG+571S5OwK39lxqoKWkg3uCS/Z71xGwcgrg9JT9DdEC
439efh0Bv6AoVTfLVLA1zGfjyh8B2lEWmsGLZJi9spaPdY4AB7pt4h76A4TE
Eir4qCNQeSr2Dlfxd1j+UyTzjmcUZHPamFYXYuEN9+m5LzKjcHLfku4p+RjA
j8mz6l0YhZktFod6cgT82O/jEmsxCmnfiN5tn0PgzD9D3VDXUSg/0j4aohsA
n268fSbzZRTqTnCyH1bxhvcx+zfMMkbh07+LcaqrrqCQLtOjUj8KiZldb/iT
rMD7Q+zO1PFRsBNhOzNAMkV+Mm9//CWMAX7p9ZWPL16i86HNIc6CY6CrdqGM
ZvgOpdR8GGiRH4MqdOlwhKkfKq1Ie1NzYQwE10LTtgif0TufU+7md8dgtx4r
JeFjGFoT1OgKf7btl/91PogxEonZff/wxHcMfMR+XjFXikGUTy9CZ+PH4JNt
mG+kcSxydMrbYioYg7HqMGnnZ/Hou6RlMd40BiEKyaLr3gnIK+pVr9D4GBTv
irPkjPuBNvwHOf6uj4H3+JX5yNafaDrFgcWWbxwW44py0/akIP0luUaB7XfD
NYFkJq6RhuSs91iUaI5Dm0Pf+6Tnv5EXw7GyB7fG4WVGYtMCno6u17wg8T8b
B4eHemobfBkopmB2ojBwHHK/NJeWO2Qii86PvyzTxsEAFGz0e7NQtIixxo76
cVC9aaP65XIOuux7NTx7Zhzspz0l4tpykduhV2WmHBNAo7xUsDHPRxKkplxm
mQmgs9e5s7JegM4PXH6ZqjsBMv+tpZz+VoT6aXSs1+wnoGX8tO/3gziahX6z
zaAJUL3u1MHOUoyepk54xedOQCW9gJzBTDF6fkH05aX+CXCZkgpzai9BC5xv
VBcYJ8GE4zuvc3kpGlvnKwuTmQSzewERdwvKkMGuZiHMaBL8ibPKUjl/kfLN
wpNjrpMw0Zo5WJtbjgIr2474JE2C9fBMhGFxBbp/V3hCvn0SuGQCrHPqK1H2
gU+2HXRT0Pc7/szmYBVy45UtdZabgjZ7KfkDa9UIP7Q2JG46BY049725nbUo
TGzei/fTFMRQbkqJy9Yh6QR62y8FU3CJmelhgWY9si1S+Zw7NQVNmzzHcaMG
ZGv5ac1WYBpCHsKZYMVGJBHF8K3w7DQoXpRMc8trRAHW4V7ftuc89fCTpqJY
E8opMUwViZqG3yZvDRzKmlDwr0O7FGqmIcB3w/O5VjM6eHB/Yc/SNAwqft9S
qmpGTsfU40T2zWzPOa75cRda0Itmx5rlSzNQ1uiVV1nZgpQIjQrWT2fAqqpk
PfpcK0ou0v5nGzMD1ooyr2VKW1E751gxV80MtHJVattotKGs2ZjJM4szkGIc
aGSe04b0b7sY8O6dhSVB33gO+Xb0zfTlqtPZWUi6kH/8fmI7SiKHDjo8moXq
qd2cziId6D5/ByvT51kw2oiTOB3YgQYqjjnIFWz/U9zN3AuYOtEOjkwhytAs
ZDnpi00/60RLA1foL7LOgXevDV39ZCcKOrfzyImjc1CZWSj1340uNKG+FFRy
ZQ6ebKn7pVV0oaXS5ZODz+fgY97MiTSlfyivW1AqJHIO9gm+PJEY9Q8Fem6x
RJXMgbpOcFQPczdqLb8Y8Wd0DvqNNKx1HnWjtxGbA63M88Cm/PgzraEbxTEL
dNAdnIf8KSWpkaM96ChLqMvJC/Ow9OTNXraPPUgq0qXDw3oeclpvP3s43oM+
VtUMdnrOAwNbxXF26EV3vV2/qsbNQxt/gfFYYC+KGQhjS8DnQZZ6cmRjtBfp
1godFO+Zhx0/LzUZHOtDVjp0qwlL8/BSeWLfkHsfWpGXLtzLQoInIdxdKTV9
aOHd6/ZH/CSYrfu7kM3bj+Kk/c6fESPBXBfz4w2jfsTBb8AXc5gEjvntRq6h
/eig9l9lD2USeDkoRJ3s6Edb1TPpsxgJ/Fw5JSNYB5B3cMW7Xm0SRMtVphyX
HEA1yVczL1/ZzrtUdc/+1AAq4ww5oX+LBBwt3NcuGA8gh9wPQi3/kcC6LNIJ
PR5AnamKhj2Ptv3FHle2eA+gRdKnoQeOJHg4/vGSZ/QAqnD+WuPuTAJ+wXm6
jowBpH/ZlFPkDQncMoOn/1YMIL8nrQnYexLkWqul0v0bQC0RvaMSviSo6/Nd
Up8ZQHe9jHnZPpMgb3dI8ZPNAaRxXFdm9su2nk+fO4l7EN3/kancEE0Csea8
oZ59g2ioz1827TsJvlzuUOE8Noh+dAzx+yVvn1dIPO8JrUFUGJg4aZNOAsEo
CTvLG4NIlG84+VIOCUTvXTPwfTCI6q8G3D5YRIJNqlpW5qtBVGuctclQRoLs
s42RXb6DaJeE3sf+KhJoX9/NvhYziFJ/m7DlNpAgU4Z7TTBjEH0m9jv6t5Fg
7W+ejXL5IKrib2+w7iaBgPhuS/3OQaQ9fUoABknADRKDVlODSOjtPj3+cRIM
iY72O68PouNDT59MzJDgU6mRmS/XEPpGd9orn7Jdf+iFdZTYELox5ub9cYUE
jy7rUZIVhpDpR6WXtzdJEAftW9lnhlD6sslNWQYyZM1x+eNGQ+iqBE1qg5UM
kXdW48uth9CZXRwj1TvIYPb5s0b1iyHkVh3wKWQnGTZ9hm/W+Awh9tOfpMyF
yeCkNUyrihxCQ86bKTLiZNiqoPt+6vcQCpqtaxWVIsM/nrThX2VDKJFp/LyZ
DBmYJKb/cHUNoX2VF9ipimTwIGbsspgbQkSFJeFONTLoJbBxpDAMI80zMy/Y
T5Ph0a75wBnhYTS5eVja9wIZunXvpogqDaPFu5n7zQ3IEKF/11hLZxhZPPJ6
9O4GGX4Iz38xtxpGx8XjGdfvkoElje3Rk9fDyPYV+wx+nwx5nBlNzyOHEcfr
fLH2x2TIV5qufJy/jY9mxp54RQZOiTRDs65h5OCx8oTsSYbffXS2Z1eG0YnX
b4OW/cjw7e7w3r0CI+ietAmdbjgZhn4ZmE6qjCCak3PRYjwZnpfqKCbdHEGU
R2OV02lkuP2tI8z01Qi6xPlFXLGADH7a8wGsMSOI7WpIZXUFGfgKgkQS/44g
mbN9hektZJhaqlA/MT2CMnttiNP9ZOBd85ot4RlF30QuBD6eIYNnZYccqI4i
MvOjx5dWyXDRNIMp7e4oig/7F+PIRAFLJGK788MoQi3+IvN8FGic2HXfNnMU
qWcFTOaIU0BnyUtn98AoknR3LAo7SoF4uru2lmxjyPNJ8/XrJykwyBnVYKI0
hkz9fuQsalNgbbemDe3WGPrVSuu1uU6BaTGdi/BuDNmdKq8s/48C+dKFlofT
xtCPdvbn6w4UeHQ0EC/qHEMmQTVzO9y29UoN11cJ4+jNC8ZDxI8UuKtqf7Rb
ehyJvs891BhGge/qz89Y6I8jRXyc5PydAjUa4yFBT8dRoaifM/MfCtRD/sGH
keMIJaTX2SIKpAF1dapsHB2/rjeSWUOB+xqfWXimx9F+eUu8q4MCLOrhV/u4
J5CXwvLd7mEKuKowDxoqTyALE7qqvHkKtCt2JdkYT6DMlHfUp2sUYJLl+SPv
NoGcD74b52VeAAGp1NXwuAmUV0uI+sC7AAyif1x+VU4gm9BF4aG9C9Cwc+9p
y5kJFOpjdnvXwQVwYp/VLN8xiVR+aFtKKy0AbWufR53CJNKfS1YUgAW4tVBE
53x1EvUZvy8fvbAA4aM4ano6iQbJ/SL+VxYgr106vz5sEpmkpakLmS6Ajcj1
6375k8j5dscpn3sL8Io/jabYO4nsS4/qUx4vQF+O3LfczUmk3p9rdcllAULZ
/+mKi02h3t+OXl+8FiCeI5nw4NQUunzCPL0nYAHYCr5nB5tNociXr0d5vy7A
X8Hqx3FvplCRQ4v4yYQF6JTYdSwobgpliRlZGf9eABjwXvvv7xRyf8uW9Sh/
AdbPS1cIjk2hfTEkzid/F4D3zlxIKtM0CnvMYmvTsAAvJXofSUlNb89TBl0m
XQvAH7Z43l1rGq2p112C4QU4lK90sNBqGlEUX1TtnN3u98NXru530wgfvK43
sLQAN9iOrv5LmEZ3z93riyQswpPjkxMFFdOo6+5PJwO2RRjire11G59GEkqi
Ait8i5AU0dEhyTyDzheWlQTsXYSyVvaOFMkZdGoj3ElcahGU8q27Bc7NIM7F
OMU4uUXY1JsbsfhvBv2O6V8VUlsEocCIhQCPGSTNdKnqreYi+Hk8Zo6NnUFO
4lMxI5cW4fqBx2KfS2ZQ2ELum+NGi/DSIVzj3uAMCnDOt3ExXYSTJNXzJwmz
KO/Afp9y60UgiUTsPyo6i+5dkWDc67AI/pvFjRoasyiKvaTL/eUiiPr+1Ht4
axbd0l5lpXosQnTj9ehs51kUy13z2enTInCWVpWIRcwiu9vHXzGFLsJDy82s
hPxZVK6ogcfFLEJ23pLzpe7ter/+2wY/F2ERpfPvWJtFzI7CNzgyF0HEScFl
XmgOLQ6QU9qKFkG11zF3Vm0OWbea3flVuQgY1bmc1XgOmevZPApsXgTuIq14
zZdz6J8Bf/u7nkVYOt5+NTx8Do10X/niPbYIdWbSndwFc+jp7NG8cNIi+Gpo
HInrmUN+nvHH8mmLcK5mt+HVjTmkkJDJMclAhTGWzAsHROaRsd4dkNhBBafl
nXw8MI/YXePrbAWpsBqsliJ8Zx6dVX6bXbmfCpbj+4TPuM8jBset9aOyVKic
qL/h/W0e6Zzgj4xXoQJfuMb9udJ5tOd96ZeDmlQw3LS/ZDc6j57c5lzI16GC
xnslghc9CRnmk7+bXKdC7TRPqSU/CeVE2WWxm1PhaJrA1uoBEjJgr8t9/4gK
NaZ+Z8aVSKh648KFkKdUiKQ9C5Q9Q0JiT8ctlNypkOjWPN1gSEJGT+M57npT
YYocoVNzh4QebL7B9gZSwVy3M0fMhoRuc7wh3AunAn+wh0zjCxKSi/l26Uws
FWiVMT+7PElosGDoQGoSFYTGjyqeDCAhB1PN9z9+U8GOJFtGi9jmvcqeK+ZQ
YX0k8jZvAgnJqFouXSqiQnGZK51HGgkZ20lvUUup8Me3KVUvl4RMZdmDZKuo
MH42yNKxmIS0H3NlLtVR4fJ4hSS1koT4QcFMt5kK1McPSfUNJFTg7xR+rJ0K
9dPupXTtJKT5oPtOchcVBnRZov26SSip5k56eg8VpL9uvX02QEJz6Ux+5/up
8KPdyjFvhIR4xetWHw1S4c4aZmM0se2/K2N+3zAV9Ng/2F2aJqEl/3x7qxEq
PGE65xwxS0JZQcOuJ0ap0DRj739unoSuihwRitrGlkVcadokEmqW/YwFbGOF
l3s6E7exbLnIAv82vrKnNvIhefu81RJotdt+c190w2IWSEhhkEPszja/sRRb
obVMQsV5eub1Y1R4LVd70HSdhBgrbMt2T1LhlVYFGqcjo03GR5rqM1SYPfH5
/SAbGf14qjVwgkSFVk7ld5f4yYhjz9aXXVQqyBX+yJEWJSPxhcDHtTQq0GmT
9jodJqPpdcb7t4hLcDGDNVtJlYzuq151qWJZApZ16huL82QUnuiexs2zBBri
mR6MN8jojfYHgqLQEjTu18rd/YCMeEUdbOQOLMEcfbJ4uAsZmUkq01iOLoFb
8XChb+A2vtMRW6C2BD4mcx+pP8hoT93VBxe1loCtrca/tpiMPB/+1s+8sgSE
w85V/N1klKgxdZlmtgT3b28p1VPJyFmT4CjksAS6tldbV3goiOnlwp+dr5cg
9pZLQtBRCjozWso9E7AEDgdfpMToUpDya/sPX+OWIL35/KSoLQV1G6zvP5S9
7Xdj6toOfwo6dsXin3/1EnwpvE2zzaCgc+9/pLT2LYH6VnzjqS4KYiHXRFMW
liA5RrooaJOCBOGD4jXWZVCR1vv+bP8C4pFKmHwksgxjAYLvZ7UWEDlRtFRZ
cRlSB99ZLjxYQFlli+i31jJ84f+i4e27gCxeSA70GS9DzGF9nvT0BbRalbG/
yHYZyiWT+u63LSCHP1Heem+WgYcp8XvG8gJqVx7nDwxehidVF+75Ci4isSsf
Srx+LMO6na/kmtoiusLuEyhXsAwR68/6lo0X0X2TyXfe9ctw5yGT/1vnRfRA
KzYqeGAZBPHjGnERi+hEbe6/K5Rl2LPCMXa5YBGxTx9R/Uu/Amr8nl5B3YsI
xa7njfOvgDN/rIQlbRGZLknfKZBYga4V88JKASoaGvotram8AteKK/UKlKlI
914Iv/O5FSA/aurBrlBR9Puu/VZGK5C6+crCyJ6KejSfGTFYroDX4/qx9Y9U
tB7yOPmy4wq41ZaYKyVREYNnjcRVjxUIZTXuXv9LRQucbiUsgSvQcChEx2iQ
iqqP+r+2iVkBKbmnedg6FXlNb/7nmboCXwTXxAt2LSGZU1UP9QtXoMmAS3FD
bgmZS/b6kapXwEIzIkLl4hJq8ZOq9e5cAZO5uNs2/y0hF7dEEdGxFfhtKP08
0nUJ3aWaev1aWIH/7CRnKsO2+XkdVmXiKjhrRWXP/llCnTYOMTlcq0DuCOjm
qF9C9x7X6R/bswq14sTrkhNLSHnj9u7kg6tAkJg6oka3jNQ5pKh7jq9C2KDO
zfN7lpFrtMTUuzOr4HvtyIC+8jJazr25NGOwChOeb4su6y+jX9fLBS+ZbufZ
3qDq319G752tr8Q/XIVQnkSP8x7LKEPi1PeV56uw45H9Q7XIZbTriv6Oc+9W
YdI9M1kyZxn9YQ72/Ri0CmL6T85yNm/rMV6phphVyO/4pTw3vYzCN8va2FJX
IV3AzK2KcQWNnEoJxwpWgY3Pf1+U6Aq6x1b/zK5qFcrL1fbaqq4g6esHHn1p
X4U+RVM71csrSOzw72dFw6tw8+am8ObDFXT1zZPwHtIqKKoJiBV6riD8jk3b
4sYq2LQkOztFryDr0khJZnYasEgWyB/KW0EXfjL68gnQoFbRoTi7ZQW9PjX9
l1mCBq82ab82Z1bQodSQ103yNNjrabS8ybiKtBbZ/tpp0CCt2uNrjsgq6uQ+
+3FUmwaytW+jDx9fRf8YznUfvUaDaO8bhOt6q0ivkTNVz5wGG4yEwpNWq0j5
cQTLWVsa6Go8b+9xWUWBs+TxHS9p4K3499Kx4FV0G7h00jxpkDc6LKr1axVF
W5OPSwbQoO1Kmx5v2SoyvBeeaP+VBoNuYT3B/1bRs1McUQGJNCi9J1feSlpF
RLKm8Ps/NEjZ8YWjlomGOJ+d3nu1iAZeDu2pznto6EM7c/xSJQ2MAkZTx+Rp
yIUjKP1RCw24bCs42LRoaEBw/GxeLw2yWJzLx4xpKGuTYNozTgM9U/peZzsa
IuQPbrSQadDpcEu/1oOGCnTf74tZo4GhprdYWygNTeUu12oyrkFW43udkOTt
vPUjG/lca8AlbNLBi9NQ5K6Df1gF1uDKPmKRVgsNSbLMzB0RXwPvsWdE5TEa
Em1yTJM4tAYpVqUxvSs05GNfvrygsAZVC113x9jXkDofs/rMiTWY7sxkWBFd
QywDdxbNzq4B++5r3rzH1tB4R4vYdb01kE0ppBy7uIYGaabFNTfWQC9y8qSZ
2RqinGdsL7RYA6fxfw9CXqwh4ZLS27J2axD63t+5LXAN3bAMN97rvAbFHpx2
e1LW0J9jPrXeXmsw0al77mHVGtonF/zb6fP2fjyvbpWNrqEfV3PZBr+tgZqP
eLgk/TrS+k7tqEpbA4vpdEF/8XW0Ln5RUB6twf1Y1pcMp9ZRbmVu/a76NQjL
kEBud9dRzJdTKy9616BMhHmM8c06iggZ+nxrdg3Ig7/mA+PXURqKSCjaWIP9
m4I9h6rWUS+vnUwk1zoYPr74s3p2HYn5m0iti66D16nTtx7zbSAXNbPPnfLr
kGO9ST6gtoFIXO5PFc+sA2nC9V7/3Q30iiu3juPaOuwvKS/95r2BRFXZQi3u
r8PtxWaCbcYG+vfpSbuayzoEuMaJnenfQEk7Vrx8A9ah2vzE/n3smygoPyjV
LGEdmGJCWFhVNlFIgLZ2RsE68N9nCDn/3yZKC5ctO9i8Do3k2iC5gE003nvV
y3p8HRRUyMTiok2kegMPtltfh1Mn7ftWpzZRPKfN/CmeDVgm6Bzq3rWFjqzd
DuiR2ACTNx6jFqe3UKN4oCumtgEWZbu5Qx5toQ/ubNmPdDdAsIwpyT50C1kI
/VWxMNuA568N/iyWbKHrMyUMB5w24PXW8mGx2S1kvUwv/Ov9BkTs3WB9wU7A
A094vdyK2IBqoeRjKmIEvDNHT1I4bQOOLbOEVSsRcHHbm8KE0g3g/MOnJH+B
gH+9nXgzpW0D1HVrmR7eIuDK71RHJCY2oKhSgeelPQGfmODMsaRtQOg+rcu3
3xLwrDcS7XYcm1BqzFq3M4yAR15z0zgjsglaT567xCQT8DgLEfLA0U0QeRhi
RcQJeEnS1uy5U5twUdPc61gLAd88eOCYk+Em1Kz2DJwcI+CGQx/Kbcw3IdqX
wV5olYCXtih/k3uyCbUM/1Rq2Im4/uaBynyPTbh045aKvggRX75rpML9eRP2
ffxk+0OOiOduVlNk4jfh50mul62niXjjlPK73ZmboM3yarn+ChF/qq77tqFs
EzZm/o2EWhLxXwvcs1dbN6F8WkpT4RkRf8LtWpQ0vAmxDBa84e+JeEVA6God
ZROCjvsatnwh4kkvbkUi4hZ88fhB3/2TiItU1iW7cm9BxnS6RHoBERd9OXmA
S3QLRh/+zLleR8T/BKYxPZDZAmmWwIL6XiLewrPfMPjEFrwpvCfPP0fEPagY
s9+FLZjzObr74CYRL9Ngk7x+bQtuO4084uSiw91nXVLmLLaA+tzrWPFeOnyA
GBV92WELvoUI25yRocPrX95f93TdArOGr7tD1OlwbePBYi+fLVAR36GQe5EO
vxZNT74etgXiH20Lk27S4QvaTe+X47cxH8p9cI8OFzHW9rFI3wKlPxuS60/p
8I5Gm5Wooi0wfnSY0cSTDhdL1qj/Ub0FoafOX/kQRIfTZnI5X7dvweTRK/ze
3+jwO4EDWdJDW6Cvonf2ehodfj0qverr7BZU31QdpxbS4X3ccucGV7bgZggv
zaxmW//4SPAqkYBddWkmiHTR4RWaa5ejmQkYX7SdS/w4HX754D2HcE4C5rc+
47C6RId/PeBEnuIjYA2BWn2CzPR43LF9TZ+ECFjTf244kwA9ft/kEc87cQIW
6BAiiB+kx2dDr6W3SBOw3Xk+k2fV6XHZ6YE/T+QI2C31O3KhevT4kcusu+6r
EDCLVZ65LHN6fLKxsfMPRsBkyDH7vj2jxy0sjq8bXCBgOfu56298ose/cp50
O2NIwOj9TUi9cfR4YO2gxQdjArag8u69bAE9fiJGIknyPwKGC/uFXWylx5M/
sOjvsiVgBqpPxY7N0uO9H7yNbj4nYNH+6iLTTAx4dczPQsobApZxYCDgkTgD
7lT34G3/JwLmSbnrUqDOgPdx1fwS+0LABNeKBzquM+AMllXKWfEEzEGDkIcc
GfDpZkux6N8EzKtgD9uTQAb849XY+32F2/tx3N20+JsBn5t12WlfTcA2rUlc
p5sYcI6IVbHrHQTMJCSh1JjMgE+Z8n0MHCFgzwkn50/xMuIeqrU39lMI2M24
NP9FRUa8R/rAO2YCEVN/w6qCrjLiDYNmf0mcROzBV13bWSdGXF2gscxXmIiN
U1yPu4Yw4vtqH7wdkSZiP9989XuSzYi/3jjGPH+MiOXrJbyoa2fETZJltVNP
EzH+a1+p76mMeFrnVV0JPSKWG+ZKTOJjwp1f/+QzMCZiibt1I2XkmfDSH0e/
KFgRseFGllp+XSbcQ3dosMqBiFn+TfU2vc+EF9qVTu1yIWKK1NP/OD2ZcFvu
lgzB90RM905JnmgME/5VhgdrDiRiAUyyRz7nM+HHK1/5YJFE7NTEW1mbNibc
aEDgi0UiEdNgrC5OmmPCyY5D1hrpRMz9Fm1Um5kZZ3j/b6Uun4jtIO8K1xVl
xv0Eidp8f4nYFBIdzFRmxkOljEy46okYVzV/jpsOMy7wp+soaidiLjuWRFPN
mXHegg9lEv1ETMWvVODUc2bc4/RDodPj23mXXn1T/sSMO5x7Kc8/T8Q+aO4v
9P3GjHdU5LBGLBExKadM60tZzHhO+YHYrg0ixjaiGP+wihnn0UQbtQx0mMrH
SAdSNzM+ou4l6MROh9GNfJbhmmfGOeXvbF3gpcNSbuYprNOz4FYRUjmFgnTY
KTL76zwhFpzi0qfZJE6H5SV4C19QZMFTOj2+eRyiwwRclLcSdFjwiB9CrR2K
dNjNJztkOu6x4DnkqM7qk3TYG++d8e3vWHDW3/xpt87TYb74eavvCSy41/iz
m36X6TC3XT8en6tiwVU/13aYmW7rfZSrs2ZY8D15O6TbHtBhO/eR7y/zsOJH
jU5fHH9Gh+V3dF5lUWXFn9yzOBXmSYft+DXrPXmXFe9ccGSbDqLDnn87yhbu
w4q7UJ2+98TSYeXZkS17cllxQxurnTZ/6LCtGbVxm3FW3OS21rWo0u3+TzOc
9d/Nhgf93fXQrpUOE8qmzby5wIZvxbZdHhylwzYuivSfe8WGh62+4aIs02G1
BFvhf+lsuGW5eMQ3NnrsedtMzMkpNtycLXWdspce460OcbDfz44H/j0sNyxP
j3n12X50vM2Ok5ZDlB+fo8fGeB0pF8LZcbeYhR2xxvSYnFVCzFwXO65ZolHg
YE+PGXUzhZsLceBKN5+fGHpHjwXjB3yOGHPg+/uXI+5F0mM7rQP21X3hwDvL
uUhuGfRYd5Pe7bNdHPh1niIl6Wp6rG/DBD7v4sS/FjE+MO2nxw7N5P4tMOTE
f9aPBkgu0mMZEZbk/I+cuPup28mvWBgw1x3mJQEVnPje3bbZFnsYsOAzqSqn
CFy4h55ARvdRBmzixMUrFce58N9TN74NnWbA3lKVd0rYcOGJE4qvn19lwIzt
HV7ejOXCzS58vxxtxYA5p254WnVw4ZMcv3dde86ARaR2Hr/EtgMXU7xS89Wb
ATvnQP+JRX0Hrlzga/8knAE7vPzqfcTDHThvojlr908GzETj/CGWiB143lJD
QFM+A1apZWZ3sXoHLpHYynm9hgF7xVdrbLm8AzcusH9h848By2487ZTMw40b
KSZ08k8yYG3PtPx5pLjxvZyO0heXGTAeukWXoRPceOKF7ns8jIyY3cPzIKrP
ja9PdEVY8TJipOwzzRXm3LjAtF2xjigjFjAycbzHaZvXi+4oPcyIXaMo2Zm8
58Z/7LburzrOiKkPSr88H86N7zld2WmqyYi9Zu/44PWLG+dVT1zk02PELGsM
2hiKuXHMYd78iTEjNikWdq2wjRtPGPkq6W7NiLFx/OJNn+bGtQL/qKs5MWKV
Ph+Zhul4cDEXue9RHoyYVKyaor4wD64Yz2/+O5ARE9XLCF1V4sGdWe48to1l
xAr8aMr9ejw4MZG3o+sPI0ax4uQiPuTBC98c+UQqY8SqWmf2mr7nwTPCf4X+
aWfE1DpCLVcTePCh+c9L+yYZMT1bnomGCh78kttogsY6I9YSYfRtaIIHb7oU
kczEzYTtu2P9WZ6dF0++msfw8gATxp57rrhAlhcv/AJp4apMWEgCWcLjMi/O
sudIqrUeE1Zw+F7pu+e8+IcuV+LQf0yYx9lfYRXRvLh2i1oC8ysmbHSxMFGz
ihfXYL0V3RW0jVXDSWsUXvzBy7GZa7+YMC/+s/akvXx468EOn9flTFiZR/4h
cW0+/An/UbcbA0xYrPfmnk9P+XDdE3PlPTQmTEiS6/zx73z4nUj+uxy7mDHl
a1M/97Tz4cknv+lOyDNjU3sDz2sw8+NygiG+drrMmGxS2i5WFX78SFziP/w+
MzZxeJprypIf7zLwGVt8y4ztjT0tPxjIj5/Yd/oPRzQz1rQj+9VcET9utLMa
Y8llxtbszy/yTPDj+w4f8B1vZMa+Vy0FXdyxE08w149MGmfG/u4qMQ1X2on3
FunaGGwwYxY3kq4Qr+/Ea9RFt7p5WLDn/qmPXz3fid/vLdbXlmDBuFFTwY6w
nXhJtLJ5xHEWTHiIWy4na7ve85Vy83kWLIb2sM6peSf+wTe4evo6C/aWZSzo
4sxOfDbPXXTSigX7H5SdwJc=
      "]]}}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesOrigin->{0, 0},
  ImageSize->{1007., Automatic},
  LabelStyle->Directive[Bold, Larger],
  PlotRange->{{-58, 4}, {-1.5, 1.1}},
  PlotRangeClipping->True,
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02]}]], "Output",
 CellChangeTimes->{
  3.5315408547719088`*^9, {3.531770766889998*^9, 3.531770775273551*^9}, {
   3.531770896907078*^9, 3.531770906230399*^9}, {3.531772953556604*^9, 
   3.531772974407428*^9}, {3.5317731175438433`*^9, 3.5317732008014517`*^9}}]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"narrowPlotNew001", "=", 
   GraphicsBox[{{{}, {}, 
      {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwB8QEO/iFib1JlAgAAAB4AAAACAAAAXNABKla6FECmUq06jel9PzMJtIm1
jBFAjnWNO67lmT8ukqcF62kMQHlB4hGFwrY/W9zctCPACECXdXFc3r7EPy49
gA3pwgZAe4qwewZNyz/vLu17lfoFQDrmWMOgEM4/b8l3nH9HBUDJD4HJbkvQ
P7cDxTc8fwNAVnmFox2O0z94sy2GNzj+P3oq16UFK9s/QXKZFxFz9z84p1S1
ExDgPytw/GaznfE/2kM0+EPZ4T+xnp+2p8voP5PK6wbqK+M/VpPfBwc0yT8W
TRWt3fzkP4nbPz7EK9S/5QB+yVUo5j+1LRD7GbThv4RjdUUVleY/gmTe8a0G
6b+9e9fYuu/mP7SuY4CzefO/VI/beryA5z8OKs8gvAv6v5ra2KP16ec/zgF2
Q60nAMBPNMDiMzroP748mvgAKAPAZDYa7b176D97JLXdr6AEwKoAQLpokug/
xRRLQoCgC8BpIfwHI/LoP/VZ3MVbHBHASIrGcIEr6T+wV0QAR0EUwHQWcNlX
UOk/ETne9xhJF8Bg9WXaBWjpP6qd9u05DR3AmG6b11iC6T+NyQ3PSUUhwDyP
QnGgi+k/KpoN9snpI8AR5uc1G4zpP99V21CM7ijA7t04kLZ/6T+0S69k+Lst
wLKOa55tbOk/vJ7vXw==
        "]]}}, {{}, {}, 
      {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwdl3c8Vv/7x3G7b3sTyd47CUl4H7uIZJSiIYTGB0XKiCi0hIxkj6SyhRK9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        "]]}}, {{}, {}, 
      {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVl3VYVF8Tx6ldulsaRNrAQHKuSFqEigooIIqBqITwAxQRJBXEAhRElFJE
JaXEewiVzqVz6dwFpPPd9597n88z85z5npm5c8+RuXzH8ioDHR3dP9rj/+9L
jfTKVkUC2CHP+R1ft6kgWbE6ppoigP3K0Rooo3Hg8LTGaqQANuMz2dZOY5ai
x14lXgJYvgHHlykaK+p573pgJ4AF3b5Iv0VjH2ntdh0jAWx08Y82M90sUNgT
pBhUBbDxdbDk+j9PBYS18AhgiUNHOQRo/H5fQGDBAj+2Ed+6W4TGmyLRFoXt
/NipP7O+O2gsQKnY7Cvkx+SDPmf/n9Uta0z2x9HY7sSz//vzPfrzFvnyY6N8
fjX8NCZG9/17bsOPFdy1keSgsVrTbE+2Fj8Wsf+NDj2Nk3s0z+8R5cfCcoyz
Rmh6P/PSNfMv82G8G36GpTTuKtHldSHxYbr2Zi9e0djm+nFFkyw+LCju0uwl
GjMKh1/NjuDD6PJRrhSNI19yGhTe4MMIxRr72rao0JxpZHvTkA8j27vnPqJx
37OvZ1qk+TD/CvNwGRrrjTg302/wYruFdmzkblJBTI/5JmM7LyZx4o+5No3v
GrJHjWTxYvqkw3U5G1RQZ80Ny3vKi3UbPsqVoDF31/eL/td4sT0zYib/rVPh
YI/RX0t9XqzFx6SybI0K0S6xezQleLGBkViPjVUqWOnqfYYVHmzONfrpThq/
3CROu7bwYAOR18y1VqhwWTDLvPsbD5ZXcI9ed5kKKZYptcHhPFjIOf4hlSUq
bMdlzfg58WA272W0iYs0+8fy1jp9Hoxy54dlzT8qnH6VdOiBFA+WdaDM02ee
CoffXoxTXeXGAivyVvjmqEDik8eP5nJjeUcU97yiUuH1Hs7r5ne5sbrV+56b
M1TIE+SRu6zGjTkbhu07NU0F+zYFt5ApLkzpulZ10CQV3JvLy+vSubBHd7Wz
k8apcEhS7+YRZy4sXDjOMW2UCsdGzF/OqHJh7B9cHaKGqWBa/wR6qJyYanHw
4UuDVEi6VKUplMuJXbi0/JBngAqul5K5krw5saNfuztTe6kgpTPDGIZxYlGk
6X/S3VQ4cVeKp46FE2ueVA7166Dlk9zW5NbMgd1uDLiIt1LhiIlhyP13HJgV
t4fJUDMV9rxII0zd4MC4in+oTDbQ6u1FyCrR4MAyvwystNRSQVDQx3eeyIEp
bq5mJlZR4YL2u+WgdnZsin/sivkfKiz8vefm/pkd6x4pPThURgUTlR+ceffZ
MYsE9bMXcCrwz650HrVgxw7qVxJyimn9pb85K6zAjnGfsYibzacCr/fQM8Ut
NkzyvwO+fLlUwGNv7LvVxobdE6kSF82kgl+/wqeO72zYGksmKyGDCpumdYcd
w9mwSBXVvrY02n7FbHPpnNgwWQFf02dJVFC64vQiRZ8NK8pQ49rzngrnw4+x
G0mzYU87/Rny31JhveGOetsWKyYo8YNHMZoK5K4AnmN9rJiGzi2NwOdUaNfO
Lnn9ixXbN7gcVvWUCsxLk75f37NiJIOfezdCqHCUKNgU9IgVC6wMvCEeSAXL
SbMP/FdYMZPkjhAVPyrYKu4xPWHMii0HXVxU9qbNl7alfHkV2vqHdqmLe9Dq
J90RFs3NikXq8LTS3aHlq1lNNnqBBYsIFHvadYMKdj0Fv8W7WLCGjTLxL1eo
YN3TkyuHWDARw7NXPOxo9bT1MkxJZcGUto+eP2xN20+9y3x8BAtm8esRYfUM
FQb4pSyY77FgRG7fiAIzKtD/fLJBtmXBMG5JWe9jVFhiEPVXMWTBYko66HUN
afOx6rT+kBoLZmIS407EaPWKyrnDKsyCOduWlbVrUYHD9eJIAh0LtuChq51z
kApmYmNiKZPMWJ/SVfm4vVS4VyvKJ9nKjCk95Cx7rkIFp+N5GhyIGdtxwN/o
zS4qvB1UP+/2hRnbw+fbkSNDhRfWoUGnY5gxM53d4UPiVNBcmGTICWTGuh9o
WSmLUOG444s9r+4yY3/efBcL56fCz0pf17WLzNi3N2xvmbhp8+arqvTEcWZs
TfyASxwbbZ6t37vjqMWMUdL8WM2JVLizesj6lhIzVjmfnC/HQOtvI+kIoigz
Vn24Mkp4iwInGz0tDrAyY84ht31U1yi077PNa3mViF3lfCTruEQBo7olfYsp
IvbnxrH14nkKDDy6aanfS8T41z00NKgUkJ2+GlHdQMQu7mb9Q5qiwF5df86J
MhrXO596NU6B8cRa1vgfRMxvw1313ggFclM+Vw+kEzFml/HbnoMUSGf6npPz
nog1eQj1RPdTgJvD0ornNRFTt25cIfVQoJPU/3gunIhlmAVy7+miwJH/vK5a
PCJi/bdPaiS1U+CUIVOQ0n9ETDmH32ZPKwU8ljQm3e4QsXcLMVhTMwVYxx4r
7rpGxL4NRj4LbqTAiomIu7YdTf92XseJegrssyZ9Tz9HxAJiJ+Jlailg8PZY
uLM5EQv5rXWGoZrmv50XfM+UiB23I9yb/kuB1t2LAkifiN3YIPj2/qbAt4zH
Sfo6ROzL1B1KczkFtIS9sxcOEjHybkbn6lIKxF3wHq3bQ8S+3pNNK8Vp65EL
xP4oEbETIhM+P0ooQGyf+69Vjog58x0ZSy2mwKuTdgELEkSse3NF/HkhBaT9
8lXFRYjYfc6uQPd8Ctxek5815CNiW8y/Sk/kUYBtyLDbmYOIJeunlIrlUKBD
XDw1lEjE+OJri/ozafkO5v0dQ0fE1LzKNWK/UYC6e8b39RoBa8h7JGGYQYHD
fHdm/RYIGLZmkT36mQLnaw/vt6QQMF7B44kP0iiw+U10L9c4Afv1KXCaLYUC
jtWfXmWTCdibVdLEs48UsHr48Ad0E7AoJjcVrkQKyPF6eP8gEbCi135eIe8o
8EaDdFCknoAJ26UWbr6lAFPW+wSnvwRMjDt30S2WAhKksrQkRMDuXlPUmnhN
AVFZi1tNhQTs9emmF5dfUiC0AxeYzyZg97bt1weiKHAlULqEOYOAyVOYLJ0i
KcD8zMZGIIWABfBsmi48ofVj180U0QQC1tGtfulpGAXyjF8ti8QQsCD7xvI9
IRQQtEjW4o8iYOn27bb9jynQEqNYzRJGwKqdCtLjAijQ7JVuvfqIgPn1TKAr
/rT8v5noH/IhYMwyDzW0/CjAESDk/sedxom4hNh9CvAocWom3CJgUuMl0wQf
CnQFPzO5dpWAJZVSvFe8KHBQ0T9K/BIBUzdEE9R7FOBE4r/yrQiYw/zej+Pu
tHoWHpbbZ0bAbv9x0u1zpcCdKq/4h8YErNXS6H7NHVq9mOT/iwUC1il5STPd
hQKfz1Jv3dEgYA8+Olxxd6bADHm7YGk3AeN5ascvdYMCeMuiudQuAmbwPiQ+
2YlW/yQ/7k5xAibUb5C55kiBakfKMB8/AUvNP+cu7EDrd7YOYjELAdNSnI2d
vUiL/zNFCt9kwran/973tabAM9F9fhzzTBjzZx3dr1YUyAiyMYwaYcKUeW62
+ljS9Hukxml0MGGTPAYanScpMJ9T00WtYsLstjKvlphQ4F3+WTy1iAljLUqK
FD9KAbohjdhj6UwYqfeg/LQOBT6QnDyrY5mw/pHSdZlDFOjNvGsrFMyEPbDe
vJi7mwJltwRvS7kxYRxrfCpvd9HyK9Iv1WHLhPUN/qRWS9C+H9UipwNGTBhP
ySU62uESLtdHjCntZsJeDku9pLLS5slO0q5MASZs7gWhq21rBgRj1QvQKiOm
z8opMTs/AyoKfLfP9TJiXEWGJI3RGXifrhHmhjNie9ynSr90zIC8nO04XyIj
9jvEn+N49Qz8YPytofOQEWNdGzsvVDwDxxLmpRZtGTFOA6Zh7i8zEMwQaWus
yYjpHql/pv12BmTi2GNAgBHLZXnXmBA6Azt1I5RmZhiwG+MjEZjnDOy+0DXg
8IcB27vtz6DkOAOxqud/Zb1jwDLaZuIdzGbgyzx90bw7A6a9GdO/oDUDQ4IO
j3VMGWj9J3aEIj8DXA5BJp8kGLDxneEc1jwz8GTvpov5HD12reLbEcO1aXie
VGdtXkGP/ZI7fa9kaBp0624erIimxwoogVmNtdPQNvI9tfI6PVbs2no2Im8a
BO63x/lo0fz3f1qmT5gG41R3lmV2euxYlIu+bvA0+Ox3+mTdS4fZWEy3n7w9
DaU9HaWl3+gwJ9OgvfpW0+DgeXDM2J8Os57x8lXUmwZmGclCZks6LIiy6yHX
rmlY97n6acdOOiyOZOtNzzUNqR857+6b2YbkmKhtzqUpsPyo47f35TZsayr3
Q98UfHYtO2ujtQ2Wl/9ufvgzBcp8qo/aBrcgYPGhpt73KYi+JYqXPt2CnExl
U4nYKfDKUQvWOLwFuuUf4o0eTYHq+mj4iZFNKJR+pItuToGU5Zwn96tN6Ao5
8jPyzBT41ghKhhlsQiBTnk6e3hQYs6YM/1zaAN9dA5EHlaagcKNS4XP6BtjO
njDhEZgCq9S2FGP7Dbj152KvwfYkGLa9H40Q3oCwi4lFTZOT4DpdkeTSuA5s
6dKXctsmoT6WuK81fB1S6ovvTpRNQmhczPB3o3U4we7ef+v7JJwMuv1wlHEd
JDN+LWjGT8JNr5jXdmVroLMy4Ho8bBLEh4OWth+tQZG05qc4z0n4ccpJ8Iv+
GrjuiX6x88okjLDfdT3KtAari2GUfotJmKLX2Er/swr+G8Vn/8Ik1F3ffFIe
tgrf7uqcI6lNQng4Ye+dk6sQIdAeRSc+CTaBQxlRvKtwQ82p0pBtEmboG7rY
21Ygy02ekLAyAW+YF7n/vF2B2Q2mz4xjE/D0U1Voqt0KRBzYCHNtnQCu2guN
0TtXoA7Zsg+VT8Cf6XjFwIllyPCU1ziTPQFtHX/mrb8tQ5Hx2fbSxAk44vZG
mNd9GUT36T1TejYBDFdEb8drLIO7tttC2IMJYC83W1leXwJJXat3g84TQE+J
zJNFS7T/iovgAesJ+HS+4pjU4yUwizL5+9BkAoROqH3+Z7wEVnECo38PTcCh
NPa8T+xLwC8ve45bfgKk3ltPmzYswk8dt7gL/BPg/TCQc+TFIkiKHClMp5+A
tZt8v8KsFqFL4rk88+w4ZIo57zPdsQjPqXlf3fvGISjpQcPBvgWQ9ei3X6wd
By9V3+7LHxegl5zs/bx4HPQKw3cMOy1ATeUz45Pp4+A68sCnTmUBqsTTRHa/
GQeF1KAC9bl/MARrspqh47CLbYxZIf8fOHGo3nb3GoeHa98Lfj74B0f7N3+S
ncbh75pzH5PhPxD52OUZajUOCRMdS1yc/+Bpq8NzZ6NxWENxUeOt8+ATN+8d
eWgcvlktzsW/nwfF0kPb/3aNwxdxL/zATZq96qtWgvA4BJPzP+YdnIfDyxo+
kSy09aNY5mQY5uHQuQ9Kv1fHwOGfouV/DXMQW63688jUGKjc3XDKeTcHPLxS
0Qy9Y8CTXuNadWsOHn3MWmJqGAM8k7QrQ2cOviVETRuUjgGLj+qQCeccjBwR
v1qSMwaWMxT2sL5ZiLtz0Oh66hjQ163ftsychf843EL13ozBwvucpJCAWbh1
3sLi8NMxYIrLdWY5Owt/Te5ynnw4Bo/CY/izFWbBcrAk3N1tDNS9LqThC7R7
xMvvfB+vjkFjjatD2xsqdEbce1x/fgwKlK4UntejnXNl9tyhHB+DN7KruxfJ
FIgWlFJd1huD1NdmUhdo//k0xoGV3n1jkB1gFbxPngKUzFje2J1jINxrhFQq
ZqD2+t6aHcJjtPulxPEl+xn4aRX41YZ1DDKtBUKPrE/Do4HoCPP1UeiMkniA
XkyDBF19GnV6FHbR2UYrKUwDfYJE0Z6+USAVvrumUTAF/FOYJEvDKHjmtrp8
NpyC2qKZobv4KPxKeN1o0DAJp3pZpi5/H4XQ7BC51jOTcMe7a7M9YRQKQ8YV
1NomoNtJf6o6YhQujtFFKpyegF2h04ka90chM+H9j7SacZjaGWQodnMUjM0a
Xd/COOzeDrH0OEfTI1hxb+nbGDx3/5OkbzAKlHx3qZ+iY+BGaboVsncUjDLd
pxYejsJ7Z4mdhuKjMKlCmM4mj4B/VqHLQ+ZR+MejADwwAoef8hK150dgnD7t
8e7YYSCxpGY86BmBnQ7qZw7NDIFDZjXXqT8j4HHmWo6V3hBIlDtk53wfAcGq
kScVTwYhwT124EfsCPR42ssUtZJhXCYpyv4RLc7w1xBPcTKkRXtbFt0YgdSb
nSK69gOgq/dSs95iBGbuXG/7rN8PW45Jf1M1R8Dxc20kD+oFI5ez7adkRiDp
xLaOiWYPfBZgDWlioekZ5aWjfusCjpRIOa3ZYRivUZJOlemEzgNDfK/ahwHJ
fVzjedEOAuTpX5O/hmFjSo3SQtcGESwa/qapw2BHv2b08jYJtoK/hRZHDIOz
QoPyfHczaM5erD9+bxi8uA8EPTdtgqM1SktMF4dhApcck7jbAA/rnurNGQzD
Ja+Xl5nNa6FF8MzNHWrDcOZlPzPzgSpouWbzJUxwGHhTsk5rSPwBkn9ghPHW
EEQVhAkkc5SDF/+zMZuxITjMfEb4GCOCFt+1rrrGIZg7OvJ1N1MRrIsWdSYV
DUHOm0SHNv5cePlHPWMoeQiYztVdtb6dAerG6l4vng3B6/IjBq79icBbPlaa
6zMEpYydj3iXg+CuRo/vKach6BPOLT3SGIyrTk8yOFoOgZdkck5aTiJuPK6p
tEirm994oGeT3xfcxkldm1l1CDLPC+tVsebgB0y9CXGiQwCOyXm8hwvwU1Fj
XVnMQ3Djaduml2kJblkb8PbE0iDIu7OEpUiW4lkv7+U5jwxC3CFGS++wcpx3
mfkgd+sgzCkeu7A8/BsfWoxBh34Pgr/cqaipvZX4yPzzJHLeIHy6Rk1Rc6nG
PyreaOFKG4TF8smmxDe1+IZE1OLP2EGoLDZK3P+jHi/c4Xp1MnwQdlrZ991x
aMTn45y0Xj8YBPKqeD/Jrgkvrsw5WXx3EDif8nmbWzXjQaP3Mesrg6DjufqS
atCCF9Xhj+6cH4TwbtCrUCHhxpdOnFk5MQivVFJfjLC14nLp2aS5I4Nw6p5G
3J3BVtw1UX7rvMYgcCtFqAVmt+Hz335kKKsNgv672xWGvu34wFBQgqPcILx4
bnWBrNOBL/4e86DbMQj3slZ0Hy934OdUn+Rt8tDyI/x30f5LJ54o9L7mHMsg
PKj34v52vgvvfLzCwk43CJ3nwrdStrvwO2aH0/hXyLBHpW4hOLEb19ierXSZ
JUOQ1lDxC+0e3DGl1kdwggyX7lVFcjX14GE52bnEQTJsH7P9p+/Qiz9vmbHW
7SYDWa33pe90L16EW0AeiQzaQv+JMLv34XE7HGRv1pNhhKmKTmOxD2c3ds89
V0kGu2CHB3bu/bg21hXtXUaG/IOnTNtn+vEYV5aLNT/J8FqqvtRXfQBviPwR
YZJPhjzXOxURtwbwZmfW5OksMrA/sHYyTxnAa0n5PDkZZPDWSrvwr2cAF3fa
qx2TRoZjc/8dTOMn45ZX8IBXH8nwZQVdfmdKxg++yoXUd2QQ9KZnZXlIxj/z
hVX8jSVDrhrPumguGa9VJdgtvCTD6ZCnScQJMn6zy+WCwjMylH+OmKCXHMQJ
Jf9t2ISTgdP1GT12ehDfZj/8MiKIDDoWMYcWQwdxLkLdnXx/MjTHcOScxQfx
m9sysyRfMixkRJm+XhrE5/ySA8ieZHh3pl13bPcQfsB4O73DlQwTVD9Ov+tD
eMptEvHHLTJc/jV++EnSEP7V1cvy3jUySEjxcsDAEN5tmObCd5kM8s3XrlVK
DuPTt0zsw2zJEKb5KfSM3TBOZJGya7MiQ+PbrBauj8P4z8nQxkVzMmzY2cVJ
jw3jBt80LIaP0fZ/wWEyc/cIHl4xWZBgQAaxTf4Tw/+N4JZPlKRk9chw78v5
1z2/R3Bru81+Zw0yiM64fC0QHMV9vn9J9N5LBmreX6tX10fxn9x3z5gqkaEn
ZWw55NcoHnzi0JFOGTKIHzt45ZPwGJ734AyT4g4yfLvUlkz0GMPzRQ1jDvCR
gcgdUvq9ZQwvYHE4s8VKBvXDbmEZh8bx7/lv1h/Tk4H3M6st/btx/KXK/vzK
lQEIuNI395U4gV8V8JOupg7ARtPzXV/dJ3CBp54G4aMDIGdh1r8wNIEfMYxP
YeulzfXsHE3Pc5N4/eavQydbBmCcW7ddon4Sv+LAdPpM1QA8fdOiRDKewrNi
mvNk8QEov2iJHlRM4XHNRW7FuQNwWIDn5frRadyvx3FGJn0AlMevmav8mcbv
pHo0XXg/AF/19T+PHZvB7dr82K69GoCsV+/esTTP4HfOThSfDBuAuzLCVY42
FFyir+swn98ARFW6f68dpeC+4Ts3CtwGwKlRkVXQg4p7XVZNNLo2AOrn50OC
6Wdxxsn2NtxmAO7PPBkpNZ3FL333dFAyHwD2Cr1vSS9mcZPODJZQgwGIB8tU
vp5ZXDfv4quBwwPAOVfsvCg/h6cbRpdrqA3A5ppjvPrdOfxQo5fBC5kB+OR1
YyOzaA4fc5bNWBAcANVep/hzhHn87rP3tx3ZBuCq449tTvN5vEjvzdffm/3w
6voP/Z9v5/HvK+EbM6P9kNrGeeT4yDyeK5sQbtzYD7dCZ4uT9/zDG8sDX3cW
9kPeN0f/HO9/ePTeib/pSf0Q8Uo7wrH8H574xVupNKIf2CRn9n3kWMDv3rzK
L/tfP4T+UxK7dHYBT357eW/z5X6QdzI/H/JuAV+u2f+o9WQ/lOW+suceWcDn
eq0d9mj2w7yZssiEyiKeNFPzZHBnP2RLurSyuC3ir48mSs3x9EN7GZvTlfxF
/O6RqmTbzT4w71UR+Le+iDeblfPsmuwDsuW7L19hCeevNak52d4HslGrfpEB
Szj3ElNOS0UfBNQ33XpesYQv9xrJ5mf3AZxvH84hLONclrn/lhL7gLmOaWbB
cBm/U7sR/PxZHzg5/d11NmgZn7Z/+vuxXx8c1VEktZUv47npegr1Ln2gFrbY
84B+Bdcu4s2/ebEPpihTLWZ6K/gaQ6fwuZN90FzUv37aZwXfZTob+ky3D64q
j554mbeCv3hGmeTe3Qch3/28RWZX8JuECxUtkn3AefDnP6rSKr7676xRGzct
nuPteQXHVTwgw86Cj74PlIePeTbGreLT95a9A+Z7gfuTkNl6yyqe4XOeU2a4
F7iUG6R/sq/h7j+UhcZbe2FeSuS64tE1vK76hEPT3164KBPvfM5nDffWn3vc
VtgLO2V4Nx2y1vADFkkzs196gdKzR+Hy+Bp+kuH9jGhCLxAKqV1uUus49yms
9lhULwjHl8V/t1rHefe4td4P6IU/1Y37DkSu49n5Ejc+e/SCXfmBk+J/1nEL
hTds1U698EpUQzdwax1v3xa623G+Fw5bhscGamzgczsEX9Qf64WaX8FTh1w3
8HC8pihVpxewC05X875s4Dvy41/b7O6FpPf+QYJjGziXY4DeuFQvrN4JrnSW
28TVmv0sTHh7IXio5Gy1/SY+0cq25sXQCyvKehnY+038r3AQg8e/Hsi5oWLe
3beJl+3+MKQ53AP1z+e9kqS28Pjctpa/pB4Ih6DCBIct3NKmsU38dw9wvX6d
X5+8hbsxdNcezusBY6Hm+r0TNK49EyCe0gOmj2XKS3Zv42IHxPGqVz2gXdh3
68a9bXxMZvvs0cc9MBwo4CRbso3b0ysfiHDvgerSnu5xBjrk1RZ9N+MyLT69
59GvCnRo0vK+TZpFD6SxHhmsPUGHqlWMIoKwHkgffsmx340OfaU+mDDb0wMy
r98erIyhQwr2QoE8kj3gJBFm7lZChyqPp3k0c/RATeqyuuAQHXL/pF7wYb0b
ej7pLb9goUcZXye2wie74TxPy6VaNXpUTpkLjevsBm+njwc+WNIj8XvKmwOV
3TC+fPv7rCc9etA1i90o6IapdRXSm7f0yMhx1Ez/Uzc8Kb7Q4VtCj9JF8vh9
YrshqcDhsWc/PSIMkbQlw7phjTT/+iYdA+JMNhfU8emGm94XZbWkGZC0xZPL
A87dQCihrlTqMaD7nIT9wpe6ge+pBWHThgH5GUgXT5l3g1HDQNYvLwY0Vz6q
ct2gG7pecB5bfc6AzNvqw18f7oZktR+2cekMiGrrH+ar1g37rwdKxpQyIJvJ
Nxel5bphLsmgdrCNAT3puRcbKtoNhxhOcHpPMiBlL+rWD55u+O9J9dkLGwyo
blPBIYOlG05YqZqGctAOxPXH3a7Rd0PcNw9xHjFGVOFzLnF4rQtKdN6u0Cky
IvPhnimJxS7oWWuydt3PiKzoEhHbbBfQyYqBny4jkmQVG34/1QWaZrZlx4wY
kctwfFzDWBcYJJZGbp9kROULp8bDhrsgIIHVqPoMI9oRzVfxk9wFvMrNUz3W
jOjD20uXzvR3AboyYuZiz4iC/4pf0O7tAsl3wf/lXmVExRYhBJvuLvDQxDko
NxlRvDXxQ1xnFzR9/PLr3F1GVHeL88Vwexdw763M2+vJiKZWVpLF27qglkdv
teA+I9JvnjJRJnVB2OG9XXsfM6LMLxm1/5pobMpyqeMpI9J6FRhn19AFaw/L
P1GiGdGcu7DPmdou6I6Ha1kfGVF06PHywsouEG8K0bTNZEQ3BsVTvCq6IOiT
jIQiYkTTAw8veuFd0Llwof1YMyN6/V3XK6mQtp+C53ZLo4zoXVkTcTy7C4b5
npie32JEhaeNx9S/dEG/4o89b0SYUHuf0LL7R1q++Pwkeg4yoZEExrPvYrvg
Z/nrVV0rJhTKthqfFEHTs2owS/JmQjPm4zv9HnWB78683u+JTOhmW4qmggdN
f2pBUWs1E9LJ+G0df7ULFJu3TA1XmFDhw4u2fWe7oGW76fqiIgG93RtoNGfQ
BdtO+omttgQk0J+5o0e9C9iNagrqXxLQmwWF2E9SXVDGsXKyvI6AqlXP0Dmy
d0FkMOvlKDYi0krY3S261AnXmeLmOI8RkX15YnFvfycwhhiHcD8lIrvAMcbS
yk7oGD/VcKWRiMhaS5/bMzvBkUVbpUuIGS1XdK4fiqX5zz821LRjRguBYlcW
/TpBnU0rxfQzMzp6c+du5aud8Enjw5GmBWZ0kDHx2MyxTjjFOSD4+ggL+ufb
z39uLy3+wvvcC89Y0NEMHT5/wU7ItsrpHuplQe5SD5D/WgcEVhYxr6qyIgmJ
g+au/R2Qr17NbH+fFfFkK9++UdEBCxucz8k1rEilsIDo/7kDUjXuNpuIsSGt
4X1sNZEdoPNHl+XKTTaUVnF0n51HB8yH1nATCtlQMulCqZl1B5wIEVunZ2ZH
nx/SWXzDOqBPNCD54Bl2FKdi8jRcoQMqBI7r+yeyo3NHFFfnuDpAglln5e8U
O7quUPCTutQODnj4vtWDHOgykvV82t8Oy+EtLsSHHKh6V5l5fWU7BBYGto39
odlnFlUKs9vh5SGZ5recnKjSvKH81Lt2+Cz7IkbmNCcSu1HSGRnaDiO3rpQG
xHCiAhvNi14e7XD1liC5sosT9T11e8Xk0A4l3hf4GCS40MmmNYN9p9rBJNQx
Ei5xId5Et54l7XZ4havC6wQuxGVw8M1J5XZgE/xpKdrHhco4CTmqou2wOuxS
PyTOjQYf5weGs7SD1VNtWS4bbiT8lvzddqUNFukZf2bHcqP4jkCz2PE2ULxb
/3a6lRtNxPwQUu9sg6lRTldnVh7koWblJ1ndBrt0Xhz6o8CDtCS/T1sUt8E+
J74sfiMe9NJcuQ9ltAHrQNNl+ys86IfuKqd9Qhu06PYSCwJ4UKRcWcLOqDao
WP1qLf+BBxkcOnGUKaANkrD6sSycB200qVxbdG+DhF/366728aDHGbfPUa+2
AfGWebjxJg+aI5o4T56j6b3Q89tGnBeZ9f9UHTBtA6td+8RStHmRCPsv/xrt
NuB2J6/K2fCigHln9EmtDWLCVVCbDy+qMc7MuCfVBlrMqVOFb3lRrB396X28
baAqW32ssogXDbu+nOtmaANDBr/d6128SLg7rNtzoRWobO/jjq3zoi1bxYtM
o62woPz0/lcxPtRpx5QY0t4KV1Uym0V1+JDt/kPPmKpaIXiLffyxLR/6bhZe
/LCIxlyl/kP3+ZBrdDZsfaHx0zgO5Xd8qPmlV3LQu1Ywx+M7TpTwITd8okLs
WSvYWwZhWC8f8i95kf3HvxWeJtsNrGzwobL3qW+eurWCtDDbH2dxfhS862CK
+5VWuG9b+jFSmx9l0dsMPbJqBcW/6RvnrPnRL153pRKTVgiLvWSP/8ePGj4Z
ryhrt0KrmduLkmh+lFxz1L5RrRVmVhhKT+TyozS35JEs6VZQ84W86038aKz6
85UW/la4Nj7PxE3hR4pelYsazK0QV8NlAGwCaKixq4m8RoINr4OH1uUFkL6S
5aFmCgmyzhnQGR8RQLvZrpuyDpEgaHX1vJKtALpUXrYV1E6C+QCXj188BdCf
bw3MRrUkcLL+WtkZJYA0ONrJhqUkIB3cw1qWLoDcX/2m+v8gAfu4TaFHhQCC
8zdezX0hgdxuMU6mPgH08P23E88/kKD7vl1v4LIAMqrsqTofQwK2+qzbrLyC
aEK+hR2LIAHVpUTji7Igkhgw9NULJEFKZXeav4EgYm5eYzzuTQIfjcSZD5cE
0YkbxD22d0hwrd6xRMFbEO0LYtG9fpUE55WahFVeCaLPZ29gV21IkKZ5l+f3
d0F0Wytaw9SCBF786q+4agWRwEc9BTZjEggVb+yRnhBEkhNRBxJ0SHB1/lA7
L7MQ2qHpha/vI4EG8Uz6mrwQ+n6NdF9UgQTlcXYls4ZC6EsriqKIkWD8QVgf
yzUhpH7q7yc3HhKgm1m2VmFCqGBERiiBiQTNA/N1kxlCSL5zaezGSgukTe9t
a20SQkO3XhMap1qAsvhhZueKENqoyTap6WuBfRE2CkNSwkhxLDXmXFML8Gn2
LYuYCqO+05+3Xctb4PFJj40ad2G0wf+5XiSPxrXb7VvvhVHZSv/H46ktMDi8
1yirThj9+HfWnj2mBTR9VAwGNoQRJ6O0uHVIC3T82NYMVhNBvkQtZm2vFqh7
J7szzk4Ecb2yv5Dt1AKf4kd/CrwUQTJ1k9q/z7bAT4mFlNG/Ikhgf3Kut0EL
lIuWPWfYEkHH76dGtam3AG86l8v5g6Jo/Pp+syHpFrj29lxom4soqoyJ5PjE
RdOzZll6I00Umdi031LbaAbp7GsZm2RRJBM5GHx/ohlGuHb9ui+xA9lfF2hI
aGsGR2vk0XhhB+I/o8WQUN4MCzcCH5GjdyCrsis8jzObQXef2XwMaQdioCtl
tnnXDC2nuW26+cRQFpv7tmp4M3zM37/9wkIMeV+9w8Dk1QzBQkrrKVFiaGDm
zNqEYzOciWpyWW8QQ58zjd6OmzfDls7mBx9ucZTz67cpq14zGP4a1GA3E0e9
9E+4z6o0Q1NTzKnXkeKIxOtwnyTSDKJDYV/p68XRFsvW62fEZkh/tzSjySmB
tC70lkYsNEHzqGyy4gkJlHD8dGbrYBOU+44/KgyXQHiL70mXpiZwe2J9vbNS
ApXbM5deQE3Q9g+5eRIlkSDDkPv7703gMWZB739UEslr7BDSf98EdC+nykcf
SqLfvwqSDZ41AWd5XUV8sSRqc8q48/lhE8SEnXZ/vSSJKrtTpdzu0uINZXz7
vVcKSfy3XfzeoQnO2cU2yt2UQrwCrzPVTzdBKBIvSPsohehbv7coGzaBdZo+
6ViXFNq5OegcotEElTuuCT9mkUYTRZSDxspNwGh9X/u2nDRKXflw87pEExwR
FyQO6UojUdWfFeM8TRCbcuHx4DlpNCvfEPybqQn2Gx1NdXGVRmfJ0o/WVxpB
QG31aHC4NAo7HSEcMtMIZC01uT1J0uiy9nXjK4ONUE/6b8O5WBp1zl76Gtne
CMb5hf5HWqTR+wPWT+jrGmGy8valvElpFL9tV59f1giKMwLG9fQyKMLynkBG
QSMcaQ9ceCkig/wJ/tkd3xphs+fYbu49MuhmjGKRRkojPK3ibDA1lEEZm8Xb
ZXGN4Br3tuqUjQxCsoLSHi8aYU7x7y5lVxk0r3IqxCCsEcxvr8+OB8ug0IFb
3mr+jXC4LFDkTbwMWmlvE1P0aoToxbhzptky6Ni5Oj+1242g4O4jxFopg+7t
nkg9dLURrtjZmI33yqC019HROraNwF/wxG35nwz6zPb83OHTjSDt4XHMmE0W
qe62Y5I71ghGSSn949KySP1DfdMi1ggtEWTbGQ1ZdGLwjki6RiM4khT+XTWT
RawqfJc0dzfC82eoxPGaLNI/CXbvdjbC3zvGqcsPZdHtqHyRxh2N0NPzw0T9
jSxifjbTWMPTCPOC7u1yObKonj9A5gmxEVgtzm5318kiH8pDer6VBujp+lFz
Y0IWea7uiX402ADPDt0P7ybIIS17zTe2tQ3grCudqScnh5KCNl7F5dHsenjx
+yNyqKaZQ/RwQgOUS8qKsTnIocuuinWqwQ0g9F8VV+gjOfScuPfxPZcG+F64
EiGbJIfSXSTNuM80QIhxqTL5txzKc6OLWtFsAKW3nEtVE3JIJWKaY59UA3Dt
Y7lC5tqJWjkSGYoYGyBorlVT+eBOdKFjQi16rB7WhjdepNjuRC+f/iypqq4H
R0fJWcugnYiqxqVj/bUeOng4jfZ+34n8jl/0PPWsHry6Bjm0unaiT7KHnL7d
rQe2BSEzZ6I80ivLFw20qIcjrS8LSvbLox410fi2ffUwfqguRemyPDryaHdf
Dm89nOVpU099Lo8K+SkJu+bqIO+V5zGlMnmkH7d4WruxDs7u1c9L+yePmM25
+ba/1UFr0FdFwV270E/u/HsPI+qgw3mn1ZULu1C2//sn1c40+4TUWnDELhR0
UKOQYloHhQd1plzKdiHFRrWUNYU60Mk6pcS6sgvZyK9KbRLqgG7Md9p4twLa
sLPmIAzXwlbIyVyRqwrIdueQsUxZLfRer7S6Ea+AAnJ8Xton1sLxhwHcCiQF
FMI15NvkVwuLfQWRehyKSHSHnn7AxVpwzb/KEm+giDxKX1T469SCioXVUZUH
imhd1NKpS6wWwtiOfGrPU0QRwT0rces1MHC22/wpRRG96iImN3XXgPf7VaED
CkqI+0ZPffDPGvCazUwutFNCawtRXH/e1QCxjhjCHKuEsg0U5N88rAHd+o9H
WBqVkEiMMZH1cg2ky4dfTmVWRvuZTvdIGNbAc+nu17V6yqih15OzX7EGtL+E
Fl69p4zkeBB2mrMG6kiCc7ZflJF6wG5H//lqELK0KHw3oIxSPCsznDuq4QY9
7wa/oArSmv6aIopXQ5/LjFyGiQq6tKWiEplaDdmWm3tO+6qgZsNGj9rIangi
+fzvUoYK0tO8L9ruVQ0GXpSTQb0qKDfiP4FMh2pgLmFfmuFQRXYxodXnT9D8
I463SWurIvn0Ta5mjWoYNz68wXVdFe3wqVYU31kNzc/AP/2lKpK9H91+iLca
Shpd3oyWqKIPRk3nZbar4G2pUlb+qCpan/t9q2umClTHqZ78XGpI1fubjX1v
FRiIcy3M7ldD13b8XcusqwJLdrv3JufV0Od8h6yqX1VQUUxwFfBVQ+Yaqw/S
MqvAmkdpySxeDWUNG6wbJVVB3vHvV1aK1dCPxuNXk6Or4H/MybQ9
        "]]}}, {{}, {}, 
      {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJxTTMoPSmViYGCQA2IQfdNNgkG5lNNBbvkLD73/7+1zwpKtNOWYHbTbxW6e
+/7e/tkLwxPLTX/ar3N/WCWy7r19bWzuXK9Vn+y5ri8usOV6bx+3euXj2x/f
2aeBwTv7EqMKI8+Zb+xFwBre2TcEqm1Wn/rK/vBXjZj+Q2/tORufXSw/8dT+
7BkQeGNf0JhsGtpy3X7WTBB4aT/PT9U1JeQo1Lxn9mesebm1LbrsjcHgsT1j
oW/Cjz979jOAwQP7tJOH/ixwu7IfIn/ZvmS6wM11p+/th5i3036rrsBvyS0P
oeoZGPhUNwQl3XwMk9+/3v7rz1dHnsP07xeZ+cWj0f01zPz9AvvclzpXv9sP
dc/+zf0X1/vv/LAf6v79F5Tdd4pnf4Sq/7Bf4oC53ZI5X6D8H/tr8yO/BmR9
h9l/4FCmwbErH35C+SwHMhdzVrM4/oHyOQ6YfueYecqE4QCEL3AgruxJLi8f
E5QvcuCLRXun3h5mKF/iwGQ2PZ2pu9mgfIUDLln3ZrxL5ITyVQ4AANyyzw0=

        "]]}}, {{}, {}, 
      {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJwVl3c81d8fx++9NmlIJbIqJJE94/2pfAsZGWmoRJGWWZRESpIykllWoSFZ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        "]]}}, {{
       StyleBox[{
         StyleBox[InsetBox[Cell[TextData[{
            "\[CapitalDelta]",
            Cell[BoxData[
             FormBox[
              SubscriptBox["", "1"], TraditionalForm]]],
            "/",
            Cell[BoxData[
             FormBox[
              SubscriptBox["E", "F"], TraditionalForm]]]
           }],
            GeneratedCell->False,
            CellAutoOverwrite->False,
            CellBaseline->Baseline,
            TextAlignment->Left], {-7.418999823748272, 0.9319902636346913}, {
           Left, Baseline}, {1.0522793474829852`, 0.13717092531922123`}, {{1.,
            0.}, {0., 1.}},
           Alignment->{Left, Top}],
          StripOnInput->False,
          FontSize->23,
          FontWeight->Bold], 
         StyleBox[InsetBox[Cell[TextData[{
            "\[Mu]/",
            Cell[BoxData[
             FormBox[
              SubscriptBox["E", "F"], TraditionalForm]]]
           }],
            GeneratedCell->False,
            CellAutoOverwrite->False,
            CellBaseline->Baseline,
            
            TextAlignment->
             Left], {-4.939206948100395, -1.2188437350985142`}, {
           Left, Baseline}, {1.1374827278007655`, 0.3840189748773559}, {{1., 
           0.}, {0., 1.}},
           Alignment->{Left, Top}],
          StripOnInput->False,
          FontSize->23,
          FontWeight->Bold], {
          StyleBox[InsetBox[Cell["BEC",
             GeneratedCell->False,
             CellAutoOverwrite->False,
             CellBaseline->Baseline,
             
             TextAlignment->
              Left], {-7.746548483148942, -0.45232304756419794`}, {
            Left, Baseline}, {1.1188572961316898`, 0.7067467948220874}, {{1., 
            0.}, {0., 1.}},
            Alignment->{Left, Top}],
           StripOnInput->False,
           FontSize->23,
           FontWeight->Bold], 
          StyleBox[InsetBox[Cell["BCS",
             GeneratedCell->False,
             CellAutoOverwrite->False,
             CellBaseline->Baseline,
             
             TextAlignment->
              Left], {2.4689951491635727`, -0.41864658631384577`}, {
            Left, Baseline}, {0.841888446055699, 0.203637463218728}, {{1., 
            0.}, {0., 1.}},
            Alignment->{Left, Top}],
           StripOnInput->False,
           FontSize->23,
           FontWeight->Bold]}, 
         StyleBox[InsetBox[
           
           SubscriptBox["\[Beta]", 
            "o"], {-7.121373452217484, 0.3836319003521087}, {
           Left, Baseline}, {0.5111152018401427, 0.2243843016791097}, {{1., 
           0.}, {0., 1.}},
           Alignment->{Left, Top}],
          StripOnInput->False,
          FontSize->23,
          FontWeight->Bold]},
        StripOnInput->False,
        FontFamily->"Times",
        FontSize->10,
        FontWeight->"Plain",
        FontColor->GrayLevel[0],
        FontOpacity->1], 
       StyleBox[InsetBox[Cell[TextData[{
          "\[Delta]/",
          Cell[BoxData[
           FormBox[
            SubscriptBox["E", "0"], TraditionalForm]]],
          " "
         }],
          GeneratedCell->False,
          CellAutoOverwrite->False,
          CellBaseline->Baseline,
          
          TextAlignment->
           Left], {1.9631787415507063`, -0.18052646286620577`}, {
         Left, Baseline}, {2.009370012707347, 0.18824778858170638`}, {{1., 
         0.}, {0., 1.}},
         Alignment->{Left, Top}],
        StripOnInput->False,
        FontFamily->"Times",
        FontSize->23,
        FontWeight->Bold,
        FontColor->GrayLevel[0],
        FontOpacity->1]}, 
      StyleBox[InsetBox[Cell[TextData[{
         "\[CapitalDelta]/",
         Cell[BoxData[
          FormBox[
           SubscriptBox["E", "F"], TraditionalForm]]]
        }],
         GeneratedCell->False,
         CellAutoOverwrite->False,
         CellBaseline->Baseline,
         TextAlignment->Left], {-1.3964170274351106`, 1.0346764671598419`}, {
        Left, Baseline}, {1.0522793474829852`, 0.13717092531922123`}, {{1., 
        0.}, {0., 1.}},
        Alignment->{Left, Top}],
       StripOnInput->False,
       FontSize->23,
       FontWeight->Bold], 
      StyleBox[InsetBox[Cell[TextData[{
         "\[Mu]/",
         Cell[BoxData[
          FormBox[
           SubscriptBox["E", "F"], TraditionalForm]]]
        }],
         GeneratedCell->False,
         CellAutoOverwrite->False,
         CellBaseline->Baseline,
         TextAlignment->Left], {-1.9837997156327862`, -0.8711270059658158}, {
        Left, Baseline}, {1.1374827278007655`, 0.3840189748773559}, {{1., 
        0.}, {0., 1.}},
        Alignment->{Left, Top}],
       StripOnInput->False,
       FontSize->23,
       FontWeight->Bold], 
      {Hue[0.67, 0.6, 0.6], EdgeForm[{Hue[0.6699931334401464, 0.6, 0.6], 
       Opacity[1.], AbsoluteThickness[1]}], FaceForm[None], 
       StyleBox[RectangleBox[{0.6006313410111118, -0.5976078321204694}, {3.937429809501473, -1.1369300877706048`}],
        RectangleBoxOptions->{RoundingRadius->0}]}, 
      {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], 
       LineBox[{{0.806226081631263, -0.7573597616123801}, {
        1.8931843449976267`, -0.7621344145486263}}]}, 
      InsetBox["", {2.3847891095881444`, -0.7933686025065716}, {
       Left, Baseline},
       Alignment->{Left, Top}], 
      StyleBox[InsetBox[
        StyleBox[Cell["Single Channel",
          GeneratedCell->False,
          CellAutoOverwrite->False,
          CellBaseline->Baseline,
          TextAlignment->Left],
         TextAlignment->Center,
         Background->GrayLevel[
          1.]], {1.9762033610590546`, -0.7885939495703254}, {Left, Baseline},
        Alignment->{Left, Top}],
       FontSize->21], 
      {Hue[0.67, 0.6, 0.6], 
       LineBox[{{0.8185437402266285, -0.9509321494027034}, {
        1.8536276365003257`, -0.9509321494027034}}]}, InsetBox[
       StyleBox[Cell[TextData[{
         Cell[BoxData[
          FormBox[
           SubscriptBox["\[Delta]", "C"], TraditionalForm]]],
         "= 0.001",
         Cell[BoxData[
          FormBox[
           SubscriptBox["E", "F"], TraditionalForm]]]
        }],
         GeneratedCell->False,
         CellAutoOverwrite->False,
         CellBaseline->Baseline,
         TextAlignment->Left],
        FontSize->21,
        Background->GrayLevel[1.]], {2.044300985813903, -0.979580067020182}, {
       Left, Baseline},
       Alignment->{Left, Top}]}, 
     StyleBox[InsetBox[
       StyleBox[Cell["-0.553",
         GeneratedCell->False,
         CellAutoOverwrite->False,
         CellBaseline->Baseline,
         TextAlignment->Left],
        FontWeight->Bold,
        Background->GrayLevel[
         1.]], {-0.9365183246073308, -0.12396780225869719`}, {Left, Baseline},
       
       Alignment->{Left, Top}],
      FontSize->14], InsetBox[
      RowBox[{
       StyleBox["(",
        FontSize->23,
        FontWeight->Bold,
        Background->GrayLevel[1.]], 
       RowBox[{
        RowBox[{
         StyleBox[
          RowBox[{"-", "1"}],
          FontSize->23,
          FontWeight->Bold,
          Background->GrayLevel[1.]], 
         StyleBox["/",
          FontSize->23,
          FontWeight->Bold,
          Background->GrayLevel[1.]], 
         StyleBox[
          SubscriptBox[
           StyleBox["a",
            FontSize->23,
            FontWeight->Bold,
            Background->GrayLevel[1.]], 
           StyleBox["S",
            FontSize->12]],
          FontWeight->"Bold",
          FontSlant->"Italic"]}], 
        StyleBox[
         SubscriptBox["k", "F"],
         FontSize->23,
         FontWeight->"Bold",
         FontSlant->"Italic"]}], 
       StyleBox[")",
        FontSize->23,
        FontWeight->"Bold",
        FontSlant->"Italic"]}], {2.649323734729496, -0.1813261329509348}, {
      Left, Baseline},
      Alignment->{Left, Top}]},
    AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
    Axes->True,
    AxesOrigin->{0, 0},
    ImagePadding->{{0.1, 1.1}, {1.1, 0.1}},
    ImageSize->{918., Automatic},
    LabelStyle->Directive[Bold, Larger],
    PlotRange->{{-8.25, 4.25}, {-1.554167, 1.154167}},
    PlotRangeClipping->True,
    PlotRangePadding->Automatic]}], ";"}]], "Input",
 CellChangeTimes->{{3.5315299185087633`*^9, 3.531529922889241*^9}, {
  3.531530335898528*^9, 3.531530345801157*^9}, {3.531530541501809*^9, 
  3.531530561047949*^9}, {3.531530648960341*^9, 3.5315306667737017`*^9}, {
  3.531530707660912*^9, 3.531530715899643*^9}, {3.5315307511660147`*^9, 
  3.531530768782303*^9}, {3.531531204597927*^9, 3.53153120817904*^9}, {
  3.5315312409526653`*^9, 3.5315313622975483`*^9}, {3.531531400953032*^9, 
  3.531531431813732*^9}, {3.531531471933319*^9, 3.53153148035052*^9}}],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.5315297365060863`*^9, 3.53152973655377*^9}, 
   3.5315299056735067`*^9, 3.5315303308938417`*^9}],

Cell[CellGroupData[{

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwB8QEO/iFib1JlAgAAAB4AAAACAAAAFK7+Q0S6FECmUq06jel9P+SCSb7/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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwdl3VUVc3XgKl7L90tKYogKaAgNYdGxABBUVBA2sIglJCSEEQRBV8RQVKQ
FAMUZIYG6U7p5l4u3fHx+84f56xn7Vl7ztlz1syzRW+6mjpQUVBQLB/c/vfk
yt3T0f3NiRE/DODX98hA7MxUcmw6J2bWROktvE8GRB1SRuBrTmzgH7XTmQP2
urhsxuPNie3dKdF8dMATIgNpdnacmJoQzuPDAQOn8DgPI06M5W2hPzrg+M7h
E9bynNjO/Zy24QNmEiq/Jc3FifldQUNbB/xliVWXtMGBMa6OR+IpFkAQLr8k
v58DS5ow2aU/4EzawPbgPxwYbOLYoDvgU7kuod4JHFhmAE8R1QGfzDjT/ekp
ByaT+GZ++iAfzKApp7nBgb3nkBsqOeBJW1/9n+ocGAd1/w+//8WDY+0q+Tkw
AdYHk3IHfKVagVdzgx2T/Pd3vP7g++s6lewUOtmxSsbyI6b/q4ejn07+V3bM
QUuev2yXDLwlVwurI9mxSEGyCs8Bj7U+hs9c2LESnZ4V0x0yuM9GstjUZcfu
Xq4qe7hNBifilIIURdgxkY1XHO5bZIAJKWhob7NhV+rZblhskkHmhdpgpS42
LOLhEa5DG2QQNNxryfeVDdOMSsouXiOD8cAzpfsRbNhi9c3/VFbJIPeL5+VV
RzbsnLKZddQyGQi0F3tSabNhv7eyOsoWyUD59JywrCAb1pBRMFhPJgNm/n5j
vw1WjKs33y6HdDBfgc3OTjsrJiFGPuMwRwa8mIl0bh4rliD003Npmgxu7gf0
vY9gxXB259svTZJBrEwtTY0TK7YSSqETNkYGpYTNDHVdVozyKFfOy2EymPo7
U0kpyor9ae1Yd/hHBkrOQ9mqOyzY76NhdEx9ZFBPgX5KF7JgUUWetYFdZJDR
K5wy9ZAFaxUl8le3kcHQncy7T+RYMLZNmanOJjKIVCKwLxCZsfHOYI6vf8mg
+stYxNUsZmzwgnrI5WoySDsz01VxixmL2Xt/tKqMDNQjyufVpZix2CdT3dsl
ZJA8w9fcRmTCfC3uBm0WksHK4PtHb/KYsD4FN+Y/BWSgP0HsfvGICdP5pGut
l0MGeR5/1htUmDBDlWNWrz+TgQHTzybbfUYsINp+LjGJDMTFAiyu1hywvt6y
64eD+ijURZVFMWK9c2zXKGLIgPuHyqMMS0bsMD8H/uJLMpBL/F7LI8GI/Y77
4HYjlAwYGxhe0a4xYNp74n4y/mQwG2Xw2rWKATtCUIuFj8mAWudBnFYsA9bi
ef04zwMyeKsc7f7ImQHLZefMPuVCBm0V30ibagyYTNx4hIgtGeypDzXWsTJg
pS1mqt0WZHBhQ3Cke5Ieq3s8e+z6xYO40ZMl3lJ67JeZVNV3AzIwDN9qCIil
x/bEPwYOa5KBA0OWGuE+PUZdUNUyepIMYsTe0iUY0WOqRcdFSqXJgEECUqqJ
02P4HZMRNzEyINw7SW6joscGQNkzOn4yQEYUH68N02Fi+nteT1nJwI1Dsqu6
lA4zbn2p1IUnA0vBXw6MCXRYecqGKMfuPMj/84tb5CkdtuBX9k15eR5kn1H6
vnaDDtORcL2mPzMPIrkV6IIxOkzaOjREa2gehD8pGYaH6TD2qVcZUp3zYLhm
ABePo8OcA5lPEOrnQe3leB3mGVrs7XJYVBeaBz7eNA4MjbQYze4z5fif80Al
Quhk2FdaTMI2LPZa9jxQ7F9++iSWFnMe5RXiTJ4H3rmf9bu8aTGF+wwm9e/m
wcX9SrcEW1qsKefBdmDkPKj4sXC8w4AWe3k7e1sjaB4M/WoOfyJLi317IiC/
/3geFC/jf0Zx0WKvMg571t2bB7Zn1ZoO7RIw51rhvET7eTCRwbYqMEHAQjPd
fj67Ng/MV2SNYxsJmKpA4G3vi/OgnEtl9flPAla3kJEdoj8P1FZb2bYSCZj3
+hmLTPV50OaVVDH9nIB9oqg2nlSYBzEvz0pbuBEw3wFfZ0zygHnd7xpZEzAb
y7bnv4XnwRhFRUaZEQGLOnfk1RXueRAl17cPTxGwq0Edl/mZ5kH6C+u3BmIE
jLpRB+Jo5oEqxUboNVYC1rfVli6wTQLXHxrubO3isWP/Rudsl0hAoH6VXYqI
x07qdtzpmSGB8KVUErEPj52joKUNGiGB7y1bOdp/8djvkcEP9r0kkH0u3l32
Nx6rLvqF928lgQATWceCL3jsl/mmeE8dCehVmie1fMBjI2F7fa7lJIB/WWgY
EYnHgg8fpzQqJoG22A3fcT88Nr804OnynQTeMBRNDjzEY9P/CjlackjgkfRT
FVdHPCbJZRXo/ZkEHj9tzH577WD8vy9OzkkkkBIi4at/AY898A12evOBBDbq
2MZ8dfHYjErj0c0YEvBpZOBVUsVj0eZ2+rFRJCDP/d78pjweS+GVvOsUQQLc
kuqdlMfw2OWafQ2XEBJQivBsYRDCY+PptVb/BZBARFmj/xMuPBa2Y3930YcE
hEzKhHWZ8Jgn00+OB49JYLm0Y9Ied/A+Qh+XOdxIgD4qnKVzF4cd89jO73Il
AeczDu2RazjsmkUB+cdtEmC9P3U7jIzDyulTLuU6kQD18zfspdM4LKYt17/E
jgT0+YgUEqM4jGH1J/8/axIYTHt0H/bjMMfC+CpGKxKo+ZYd59uJw7puaB01
tCABxlq+X5bNOOy9fMi/CDMS+OKkgbtUh8PGHxhHd1wkgSyeuCKrChy27uQ+
JXSOBJivFzA+/IPDaC1G/Z3OkEBHCa3ai0IcdjHUjSpLjwRoSoR9U7/iMIIa
E+ukFgkkDD1h/J6Fw5yLIs9xaR6s92Ulxh9pOIw4+WztpCoJgI0uvbREHEat
rJJmcIoE3PSe3Ql6j8NuFsdFGCmQgDW8oXj+DQ4rDEns15QlgUNTYedoInHY
j6zTNUeOkwDSOHovNQSHMWpY+e8cJQEX3cuGMv447NG5LZVqURKQ9NF89fHJ
QX3IeLFAwYP/05FibfkhDjtyyv2+PB8JWAaVysndwWGdiiqXWjlJYNvsA/mc
Aw4z39betWclAR6rX9Pnb+Cwq4lhn+YYSKCWT61J/goOe62wc8+BQALiLDqX
li7gsLyaqLg2KhIw/LN8PNoQhzk8OG2uuEcEBmmutCxaOMxOe6YldJMI1A17
E5xOH6znuTegZYUItI9dSoo7gcN2U4+3My4Qwd2K/fJ0SRy2Z5n8R2OOCLo/
UhaGi+Iw+mCSvN0kEcQpe8vr8eGwXoX9G74jRFDP9mq0gxWHcT/+++TFABGE
5Fj7q9DisMdO2t+iuolgNILlz719GiyH45pGeBsRbMiUnfVYo8EcX9EYPWkk
giHOd0PnSDSYBUmJ4UbtwXybx+DiGA1G46L7+2QFEWR69D8166PBVEeO5C7+
IYLz1yP1HVtosI/XZfX8i4jgqx+fJk81DfZ3ouhfcwERNOZZRl4ppsFcAgS6
mrKJIArKWfHk02D8Kl9f3E4nAqL/gzb9VBrsKVuz9dtEIuis2uHpekeDneRq
ylH+jwiATY7Zj3AabNII36kTRQT8h63zO3xoMOnfzYqfQ4ng2j+S6ZF7NFje
rUCJi0+JYMnupP3bGzQYs70Hm4wbEbSFsjFynafBZnKoz0m7EMEi/42Hseo0
2NSFwNPq1w/yk9dKaY/TYOkmRifPXiSCvK5CPituGqz297cEA20iUErx+eJP
SYMtRHN3CCsSARQXfe84R42VjvxVLD9MBHqKAUx77dRYd66EgCAbERTGPZZT
LqbG+ijD5oT25gBBbkycKokauzWKUfycmQNS5fGHLgRTYxIWWUUt7XOAXTzg
JLMzNVZ4S/jR9ZI5kC99J17uDDX2W3Q10ihlDqx9Pv04RYIaa3j2zCkkbA70
ulQtXMVTY7Efjt7Yvz0HjI6ophqNUmFRrTHLX87NAUG6PbqIEirsqaiE8geZ
OaBwvJpFJYYKw8++tZxhmANW7w1S7t2hwtDzt29yp2eBm7NywVltKuyS9RAb
TeUsMM00Ok7kpsKs6mToqBNmQf3dU5t3ZikxT3GV7EqPWfCnJo9xroQS0+/8
KXPz/CzYrr1tGvSSErutdBOtHJkF14OEi0ytKbHA5KXYmK0Z8IfWX8pDjhKT
eSoyfr15Bizc0o6j36fA6MVT+xxTZkBT8aEl6SYKrGjjZE6dxww4wVQmshVP
gXWbvXyZeGYGLN6f4nh1mwKje+/wlVJgBkxs6PyiVaXA5sTcDOnmp8Hoz4i9
IFoKTMDsYUgznAYhT6aS1XL3gXoYb8Ld19MAqdwEk2f3AUlIuHzn5jQ40ryY
ozW7B5o9NI/GKk0DcxuKv6HP94D3vOyWKX4aMLJu3FuS3ANvxzMeGfdMgS1K
ncfF9bvgT6F95YcvU6D56tkyAdddEFPNL3zNdwqcUPM+epFzF/xwDfr56eIU
2K1T939VvAM62K78CTsyBfRZ5AkEhx3gY3Wm7ujmJNDIarDIZt0BSTrb225N
k+CLGLrrVLoN1Bnp+u6mTgLtvUJNkXvbQG2beZrgPQlakW1lqfA2+M8884uq
6SRgWby1frx9C+jauKXvSk4CyBnQYhy2BU7ZMNoYUk2C/76aGDKCLXA9jsmK
vX8COJ0Lv2KyvgkKLnEKX/o+AUbu9qxRf90Ex1pLZKheToDG/2aEGO9sgrwr
KYw8zhNg6tLtWhOJTaAlbY89154A5CMMxJKJDdD85sO5i4ITIO21R+DJ1A1w
oX2iyG5jHFQJWz5LsdsAX+WG8MXt44DL3HF2XmwDkEliJefyxoFpoV7O/vg6
2DC9eJ0jYhyoNqRX/UlfB5UpFK7UTuPgOZ+yNJvLOtA62urOpTMOGI6m9o5I
rYM7AjfWMOFx8MjtQzUPeQ3IN+m4+26PgZDIv3NxBWvguZ+QZ3n3GKBaG9S6
5LEGHNzD/Qnfx0C2YkiZhOoa+LMixq0bNQZON9y1o95bBf7aoSWud8ZAtJ6O
SH3ZKihKubgRYDgGurye0d8LXgWM2hEbbkfGAEfCwoclw1VQ0rcbc45iDLSc
4nF2YFwFFSyDlzgGRkFqQyhVe/MKkA2y/dFYOAo4p1r3DN6sgK2uPxrP3oyC
H0zBCy2XD+I5Evc1XUcBR638bS/+FdDwubuZ+uwoKPxoT2UyuAw6nSmG+8VH
wSnu/DO2ycvgYnSPWBPVKOD7ldxR6LgMNKpjhEYHR8ASU8MpW6llkJR+95Jw
8Qg4H19MfWthCQR2xuhFvhsBhXMUzYM/lsDQis5jRbcR8DtISrrBewmUpOfc
4zMZAaS5v7ma2ktAMJI2W192BHRm3ZvVplsCOKPwb+UMI4D2bPrDiZZF4OXn
TBszMwwYTSj7Fd4vgifNPTJVNcPAU4+lUPnmImAYYP18LX0YNOdZx1FIL4IT
BvrrVsHDIJMnkDdubQEsFOQmtdsPg1c0+CrW8gVgVOYnWa07DJj3vBQfvFwA
2pxkNvWjw6Ao4v56jeUCGDinMKiOHwacJz1SRY8vAAWRvcOfmodAArVyPNdB
Hyq0xXVj680QaHxje4H17UGf7TXrFnl1CPhc5KjZPUUGNZL4h6dEhsAjVvfP
//XPA/n4apvaqUHw5kve2w8B84DZ6bkxd/4gyF6dUyiTmAcOwtnY8uNB8K7W
VLyyhQSway8MFbQHgfgWI4f1ExJIzQ51TWcYBAq2Oh+ND5NAYtY2Otz5D4R0
CLkY1BOBAlHP0CvhH6CTquWnPzhXXKkrWf2d/oEANefLFwSIwCKk/ShB/h9o
GjiGWivmwAZdW/To+kGXMyG3c/bWHLgiJmg3UToAZGQycx+zzIGnTuzJo88G
AOl5iTf7t1ngeZvFMufMAGhpiyZ0mM0Cw8oH73mZBsD3QbM1z5UZsIN/57ze
1A8cn0kRi17PgLjagXaBV/2gMg5EmkjPANmET5OW5/pB3MYv352KaVAigGWH
0vWDGrcKWzeLaWDayyv/qKIP8Ew++/doZgosOYf5Lnr1gdtix2J+eEyBHBti
YqdcHwinbpde2Z8EAebJyUsjveDq9a+Gs88mwbMBwutDr3vBLGHuhSluEoyH
e3mIafQCQl6q+J7/BJDysp+dm+gBkuZLjrwH+0Jjt+33qIgewNQ2dmzs1jhY
Nz8koS7bAxx3w3Q+9Y6B+vTT73mbusFU7uKb17pjwNnHwfLi7W6gXyqzvJE1
CnbCDMqZ8N1AnvqcGi/rKPj0NEzUO6ELuJhb6594MAJCWVobypW6QOwLt/ng
5mFQS6rjYanrBE/945kspIZBTP2hy+GWneAZW9N2G90QwFm69t8gdgCrrRqF
jaJ/4ML5u9s/vTsAuqXvlmI/AJ5dKaX7Q9cBdNld3CyY+sGABMO1D7HtQPLT
ham4b73gltvBHn64HeAq+QLmr/QAO6IqS3hOG+CXmVrt2uoCQ9quh8jKbWAt
vHuzO74TMB/XLuosawX9L+i13DU7AMHM6rTz2VZwczTRT2G4DVA9clxq6WgB
taqFLm8CWwH7aTpl1RstIEHv/rdD4i2gKb/vR3xzM/Cx7xRNiG0EZ/Cedq5j
TWDL+sWdmxN/QWOXipDWRiPoGtDNizhdC/6EPIh0ZG4ErGqapqJvq0CD10ML
JfEGEN73EMe4Vg6ab+ajNVAPvsvUvftljUCRqMz9Hsu/4MOlKrCUXAySJ5my
tp/UAXxombPiu5/AfdjzR2BcLRAfruvuiP8KzmpGtb/6UwPiorTdZpwzAa2c
zxm9sWqw8Pn4SqVXImgYsbGsYqgGJm4G93RHwsCTYLtzCspVQGSTxfGhxBN4
7EymXa5DJRjvR7V7Bf/BSssro5bvKoBHXEVLlV0atCNGM11vKAejXx2U07Rz
4aJkgGQHTTnIdx1OuO/1DQboGHiNYWWg8/PnyoSSQsjgTK+b449A5ruqIc2p
YoiPHIr5HAZBq9l6ecEmhBQCp9OXeErB3JaPSO5mGRzsu63ln1cC5Az1Yptm
KmDlsXLy2wvFwE1QMXuuoQq+tAk57b7xC7zDpZ39mVwD7caoPjt8KQLNEZvX
h27VQUHmQPTFoRCsq75q4DlaD0c1zzM/P/4TqCRU+rO2NsDk9q+8epvfwX/Y
hp3XvSZoeXzdSaztG1DNCbPG7zZDqiTnZ84/CsBh5Vu5CqUtUC324ppFyldw
fLLRUdmjFYY7bGwcis8HiXvRh/+Kt0HBJqNjNZp5oHEzknyqpQ3ujChTPr+a
A+Yvvumve9gOzb9hK+mhWcDG13OlibkDWs6T3IxqM0HgBrNhdGoHvARq1+P5
M8ALNdlxa6VO2GNqsVjjmw7qYGZXUGkntOwU71pZSAUhe+YyRjpd0OhRCf+5
RymA/QFhba+8C7L1JiluUSeDjKhozXmNbqj3zTrmaPInkNtVz2n/vRvSW+06
L75PANdLQkOyxXugIJGZQZUQD9iK45I4YnoglStuyzP8PWAx7n00sd8DJzSW
hPZE34HkaR6Ge069MPnr5E3hhreAiV7KfbO+F8qJreTKhkaDbMkp2C7TB+Xm
pIhPTaLALySyaRjZB79UaRKqTV+AN4bZsmmzfZC+CpZY8ocBd9Ub95T0+6F4
6O5f+7UgUMLCUK39qR++fnKSlrnGD2RrheoIbPZDPXk3t5YSTxB15vMKo8kA
TJDa3C166QoKPoEpm4wBGHbqovy6nzWQQkck7fcHIMX/X1jJaLDZIZvL/+Bl
qdrfET7WsMb64e03Of9ge+Bnf9cQV2gqcpZfFTcI9bPmRwe+esLG91kSUdcH
obvxi8r8fD+Yk2DzrvXnIFTj/jCTMRoEz1EqO6myDUHhaS/NvK1QyPB2+z/8
3SH498bsO1WxF/CspLfMw79D8LWQJ3ekXBQsOlMWPcA5DHEpenEvLaKhgykZ
RegNwxXBsYd0L9/CGZ7cJHvPYXh+sVXNoTUW3qG2Pxn8ZRjSPH0bRXfkPZR4
6unDMDQMGcVzGG+EfoBg8bwnF9cIlDVKOPt35yNcqLooXmY8AvXE3Vf6tD9B
J4ex59IhI/BoDR1W+ToJtqvcTXYvG4H3Vc53dcwlQ5tMs/u/90bg7y/Uwcgk
FZqIUKzwao5ChQtzfGqVabAU3yWT5zcK582rb27ofIbTVepCHypGodiCuUx2
awbcrY6r2qIbgzfPWxrQ3/sCDz+6fIRoOgaVkt49rebLhsmKXaqRCWNwmK/h
09vOHPjygT/dDnEM2kz/8pZIzoOnYoujLmuOQ37h1/P8KB+e2FTozo0eh7O/
JomcRV/hUlbazuTMOBTWumiSVVQAo3N5jnXqTMCOqopuu7JvkIIy0ufCpwn4
w0JZvbL1O1RIoROT3p+A9+iTVE1nfkCNmNeYls0kFCGuvXxDKIQbXRLb9hWT
kJ9ZbpVJugj6OLc/visxBf0DgKTB5V+w5EzMkPyrKbh3WWiqMvg3/On10Dx4
fQpaJZbNMv4uhmbb9yi0bKeh5m3hhdSlEvir/iVetWEadtXLfGOXK4X5c52R
+ioz8EbrKLn/HoSWloYl6mkzMESf/0SFBYKf+WcLl9hnYVko49jZbQSjJWG6
ZsAsrFKqmPubUAbpw+pz18izcNz8tCS1TjlUOMWxtnBjDhYtuzwpnCqHNYpx
ydRNc9CY++LvLy8qIHOAfR+NBhG6Vk/WJZ6ohNWCHhV/s4hQmlEy5GpXJWSl
bw+S4idBwQW2xjivKjig56e1G0qCsV7xPuJC1fBo69PD3KskuPat4iFE1bA/
q9PY2HYexqYGRkrcrIFXu0In3RvmoZ15x5cjVLVQdovH9cEpMiQq0v4M/FQL
fW5RN2gmkqG6AWzW0qiDauxiQo+oF6DuzvzRuz110J/93n7hqQUYBF9Msjz8
CzO+20g+dFmAc7uR4CR9PVRZf1yc9mEByhyZvjH9qR4W9Sh1Xm5cgITEqIdK
pxpg7hX22Od7C1Ct3yfjyN8GmPrwlaC23CJ8rJcsW2nVCGUkjkc8s16EeUZr
CkLzjbDSw2bP7NUitLtyb0zjaRPctsqPLSxdhIE9+3dlmZqhZe+7R/mkRfhb
9RPFdlwzdJl9+11HYAk6uifbd3O0wLyXR5+4Gy3Bwi+LXl+utsDflTXDZx4v
wT+PVK7tJLRA9ohN+qq0JdgW8uB921gLBMMqPHNtS9A87l2zgkQrrCqnPor2
l2Cifdqbw3daoeaJnkuG0svwWHyMz+e8Vih4XKki1GIZyq/fFK1ZaoU7WTHR
gc+WoZw0LV/oyTZ49YfXiHr+MvRY9NsierbBBl3b5t/9y9Bnt9Jq79cBW9R4
UxBWYCC+rQttt0HGheN4doUVKFWRtH9aox1yVcfSrFitQJlfiyb3n7bDnxGG
U9mhK/B1Tnj3XdgOZ3LpY3QKVuCu0oavBkUH/PTx80rpwAqkHK9SmMU6YFPV
DPEoYRWevuA39jSgA9rFfLD3O7EKFRnyffHlHdDGK1S7zXIVfsoem4+g6oSp
o553j4aswvWatCP8Op1QSV25wS9/Fc4tBjCWBHXC3ZVXetN9q5ABUr/1qeyE
S17GyAG3BhcqfmY44rogg7qy2L7cGlSMEVcJ1u+Ccun85sXX1qBdzaDcWGgX
dD5Wpp4UvAblybd8I+q64BuZVVSYvwa5ky4zP2fohgXiAbW4gTVY9kCmZfJc
N8z1l1ONJqzD4lWv/LyobhiZ+XfHTnEd/iz7Gz/f3g2PswiuB1ivQ8lbGYG5
PD0wUniRZTliHdYEJV7YsuyB8YZssqVF65ArRW1x4FMPvLZhoDI7sQ4rrWjN
bSd7YEa8NddTjg14Qe+1c7R0LwxJOZztr7UB7RZt+bwf9cJJL8uxDdcNGL2K
Mxcv7oV9UR1JpIQNmD5JS5dI3Qf/3LoZZt20AYG5lfqkcR9sJlKKnNrbgBKV
zy07Y/vgEPvvLFPZTXivwJ+oNtIHC3pe34u9sQlpE+XdZ6T6oYhqVNboy03I
T/fcO8ejH44olKTxwk0Y4vok+EpZP2wqFfjER96E900WeQsZBmBab9G/aqEt
WCszXPzBfADq+71Lojy/BX8EnVzpSBiAtllQNstnC3K1DRsoTA3A1qsqtalf
tiD9f63qQbL/4I0Q2q/N3Vswxmzd4p3bP9gkrSzNRLMNf4ZoHdb89Q8SDet9
NOW24YOcRCGDnX/weVf9hO7VbThgQNkRoDEIb7WCL5SB23Clw7z2j88gtDop
y3Q5cxv+aX8R8PfXIDy699FErHkbalfEBHuuDMLXx2J/Gy1vw8DDNtfeSg9B
txzBiByuHfj2fn/wgu0QDItQw8uc2oEu0uuRlm+HYOqftXtfzHYgb2fyRmrF
EHwJLtMSHuzApJnGs/HkIcjGZMt1JGIHBq98C6FlPDhnRYV6R5N3oLRkvq2L
0DDk8nobe6RoB142bX/SIzsMaXtEHw/83YHu6RzZZzWG4VF+Pz29/h2oqGKr
sXhmGKZOFOdkzexAjddfXuDMh2HB0JS11dpBXG1wo/LGMAzPYWdIpdyF5XB2
+LbTMLy+cvZGM8MufJVRmnLK9YCvptBKce1CLT/DT7Yew7AsQOIXtdAu9G/0
OCnpOwyL2eeE0sV34ZKASnld0DD0+7o1fUNuF2que6X5hQ9DHWqnai+VXcg4
KaMZ+noYKuUAR33tXUj5CMwJvB+Gr8zeejKf24V1xxIYfJOG4bMEt0zhq7uQ
7qXK3tiBR2jLL3ypdtyFDnK7oi9/DEOKPG6pix67MCSmr7OwbBiuw/Ue2rBd
yGMEH39sHoamtCl2GvG78FfXexfvA+8wlpHwUv12EK+yILxcHIacHbH1xo27
sCdhNp8NPwJHk/bwZbO7MJmkUaUtOALH1Vz7xxj2oKCaVsp15RFoYrCxTnli
D5JYxzITzEbgTZdMBudre7Bsg01F230EahpEV90M24OnfEqyn70fgWdCyjs0
i/cg99FWx+QDb3Ey+xggv7wHjdhJiZWkEdhM3fGEXn4fjhc57dQIjsJg19s0
oQ/24SUxg213k1GY+NDZ2aZwHzJZvT70X9goZFtx8sigoEC+d40H1stH4Qvz
S3eeH6NAHDefltygGIMX6h+flr9Igc7ryqjFYmOwt/wapZcXBYoWsu52ChqD
BZneUzrpFOjKNh/rx9oxeJ10neV2OwWinrCz32cZh87bQfENlJSIf1L7ksXV
cXhJ636B3glKREH3x/JB6jj8Ip3m9s2WEklZ9OxwLI7D6eNp+OVoSkQ9GPeD
DkzAtMyliJFKSsSaRo8TeDkBL3GzSlitU6K0QplbnIMTMGzQbw8cp0JGIvT2
JbKT8I9rpcKt61TIZibtwT+/SfhC2Wa6MIoKPRAksGu1TkL7lE5tfCUVaqpW
rMw/PAUHRD47KKxTIaqFE4S1R1PQXfCKG99xauSeQrjWVzkFv+Gdo/+zokbv
5n6rHeOahnxGVmMvXlKjljYTqXT7aXja/Gd4O6RGn+3aPot8m4b5MRtZZxao
UX6GtrwNxQxkKjwu0SFMgyKYL1upGs9AtxsuXR7naVDfC3fxH7EzkN318lkN
Hxrk4luYNDo0A1Ua3hxSzKRBOqoKIx3HZqHo1Yp+u04adE5wZ/3jvVnItBki
0k+BQ27+UpsXvs9CjVf+T1OlcCjnT9f6zsYsJO+ZhNeb41CvLCehUH0OPpD6
2GPph0OUsluno/zm4OI69Z5NBg6tcCamxJXNQWgg8WqyBYdKNPiuTFMRIfNe
lsjGBg7JU/k5RegQodKevEGSCB5dL5mcigkiwmtSV9+RDPCIo9pxjq+CCFud
q9Om7+GR2ROuYEkqEmx9z09IiMEjvDxdbRdGgslJ6xf4SvBIRNeiRtGPBL3t
9jkdR/HoGQtfrOkfEswob599RUtAckRbA71tEnRI5nZMliUgBqUz84Kn5+HS
hMuhTDMCImhNfJz3mIeR910T87wIiPausUvd93kYcLQupOwTAbGzx9ihpXlI
Oc3rOFtNQFvPOxMn5MnQ4gNF20kSAVXIHjlx1pUMRw8fts7joEXPrr07Tp1L
hkmjCkrWqrSIrVJTlJ9EhpQ6pxCwpUXUDYSrOtwH3iajQ2MYRouo5Hd2BQ68
LTv8PqVrHi3qblt+yX55AfrrdhZlddEi802HDwIeC5BRN0xqdfeAp+sKFGMX
4JuHn65pH6VDn8dj7S/+XIAWv5QMwo3pkKiiLna7awGmUVotVTyiQ7G8Zzp9
1hZgsZLM9ck4OtTZK/DNl3sRzqrBsOkyOlRcfMrF8dQidKGQ9CibpkMc1Myh
cpcXYfjtAHFnFnr0Y4UvvtV9Eb52HIprP0mP3DtblfViFmFF39WOLUt6JDGb
PRP4fRHafiV0dATQo3jPw1pB7YvwV/t+nMVnepRVntmoubQImaWuHvdtoEfi
rL+FclmXYPqn40GnF+nRWOrfijrZJVguGJH+jIsB5VWZGocbL8GiiNcx5qcZ
0O3COoNpl6WDfGYmKVYMqL80XW8gZAnyDs312fsxoCER284bKUuQ+91dxddJ
DEj78P0QZ7gEKSYWLIUrGNAo4ez0Yt8SlCl4YY4fZ0Dx3C7hy6tL8CukZtWh
YUSE0BXiLdZlOCpbe3JWjBGF2Y6Zuhxfhssb69bcOozINHmQTKO7DIV5vh4b
tWVEiXqv1i9dX4aJgWzizv6MKN0g4eMdj2WYqaS8Up7AiOJSv3M5vFqGD8Qx
KaY/jOibhfebSxnLUNnEyN62nxFJ2nwwOl924KG5j1T6NhmRYuGfe7f7lmHk
qT4smpcJUV+LUCxbXoYvxj5wpyozoRbdnAYHphXomNtlevwKE+p61HDX9dgK
PBeV8RJ4MiH9sddGK1or0DdQzm7vHROyeJUeS399Bco/fe4S8IsJGbh9C659
vAL/8+lQHetnQtovbc/qxqzAeQ/Z+5r7TCio9+qhtwee6uL4IzlHjBmpm+pJ
NrWswDO6obfPnmFGeSsNGbQLK/A3Xbmdwn1mhPvzvvEq6yrczQs64vsfM/L9
bFbffeCtmPysvn45MzLMT+/8z2wV/g3isM8gMaPP7Soi3x6vwvIUQa5SfhaE
mL4PqiesQpfn4stJZ1hQ97UyXeOqVXhI1vjdPS8WpFpIF7JOWoWl7pcHTuaw
IOm+wuhzvGswf+F7yuQIC3rivGuM6a5B6kgsTJGRFeHKIy/9frAGfU/NJp+X
YEUV+gJ66Z/W4EUF+2/Keqzo3WUrNN+yBgU01epHbrKiZyaU9k+p1uEtnp1t
EMCKrN+VNoGT67DTW/GK3idWdCzMIFHQZR3OSdybH4esqDToghtVwjo8O6DS
zjbMio7MPif2tK9Dn0siPJCCDZ049CU9gn4D8ht/rR8SZUMjHnZaOO0NWBT0
mMpJhw0JX3exlPfagDOFVI0GDmyoR8b1zXrBBtRMH1B3D2VDq4YSYXrEDXiR
8Y3daCYbusNs2EMjvgm/fS4wDWxgQ9KDAYdFbDbh1snaQ4ZkNnSI9zkuMG4T
/nSzaRFnZ0dSAmwiXJ2b8KkobSDbSXZkZNTIWsmyBac3z2pvX2FHTlQPPJ4Y
bcGnxUWHu73YkUNqHlk4eAuOivUr/feRHWlHqR9KhlswaQGEn0DsaOpo/bvZ
zS14YeiRUuwoO8KqmGnGFbdhbA613i8aDmTV9Hvv8d1tGB3P2flKnAM5LF27
+y59GwbsyAjwGHIgdsmBi6pD2/BUkuvV8y4c6GYx9aI1z4FX3tisVwrnQE+W
YmPwF3agDe1cQd0XDmTIYxkiHbIDnz20P8dYz4HWHnIxtJTswJb7wX3bsxwo
+HzEbfLSDhTuvvv+HT0nIiwHkMMkdqHeE426QUlO5J9ZOhh3fRceluLMbDHk
RIzF+ACx6F0Yitge33HiRPn3hYVEq3fhRabL7l+DOZEvR9Pu681daDpBMZyQ
wom8iN1ObtJ78K6AwrpiGSeq0qVKrb6xBx+E0G25DnIiSwf2rZCoPai2nn7M
dJsTmb5r/PqtbA8maB+HvTxcKE9sk/3s0h70Uf+2j1PiQrGXrjmcPbwPk4ts
JboucKEt158LBSb7cCnc/PGZ2wdc1rbj578PNUNzZa1DuNDHaLfW/Nx9aBPw
Ipw7iQutHrf9qTOwDxXPsdTfK+ZC+NncJx9oKFB46WU5p04u5DnH41zJT4F0
MwPX9ua50FXN838/yFMgvZEC65O03EgzVKlSRJ8CsVP7ljCKcqMxNnNpc0sK
lNd0LuPNaW70oaYnRe8+BaprILT2m3AjokrUU8pgCiQWEjm+5sKN7q6dZf3v
PQXyCCqLWgvgRrlRA9m8uRTo8bmQIOJ7bgT+Y8+ILqdAY3dKb81+5Ub5H0vN
uboPxt8yXqH8y43envhKlz9HgSaa2Jt0R7mRz/hvnocUlGj+8Epa5RY32tDP
br/FRYn0yG2Sbzh4UMyM+evM45Qor+Q1oVyaB5GtwlI1MErUxcFBuqnPg56f
4LQ9dZkSBfqeDgu14UF763X8KXco0c3AqRAtbx7Ug3kdfRNEidSz9mOTY3nQ
1/jVDq4PlKjU396xpIAHscYz+qp+o0TpERvJn5p5UHjzqwesDZQo1yxhy4bE
g/JrLuA/T1CiWHuVQyyMvIiXS/AVEwUVYtDNLCiR4kWGhrXWlw5RoVbv9nve
xryod1G0IVSZCn18+37X6h4vupa8dey3GRWS5hlkfPSaF1nNHq7ZfEiFFF4E
GTX/4EV3rt3eNY+mQs997tgH9fOiU0GpQoMFVGhjrab0AxUfMk3LWY7voEJv
xdZjWaT4kF35J76IA2/8kP95uMWMD0m9SE+OP0SNjIxDX7X68SHn71OfqjBq
9C9V5x11Nh/qI74Q33KkRv85h89Z9PKhs1OlerIHHvlLj86/gsCPPMzTWS//
pEbes3cNTyrzI6GZ2+8dhqgRH85R5ZMTP6I0U1m6SEeDhnQSddb+40ezBkoy
jEo0aN2s5rpkPT+K8AizirCmQXmTEV5Se/yo4PX16PIIGqT+OS5y/sQhxHt2
YDitiAbN6CaF2zseQpFmMtckJ2nQ2N1zDn4fDqE/1k9YtTgPvLLFmO1E6yH0
WGiGa0Qbhzr5zwXeJgggH+00n90HOGS4vZ0loimAwn27Locn4RBOhBCo7S6A
rAPSfnq34pCJssBGebYAqtxXza2ixCMX8jTl23EB5PkFXrBSwKOwNf43nwUE
0WlFqxxFOzya3bJOJJsJopqzp3vBWzwa+OLAfyNSEC2m+U24VeFR8Pfe9fEq
QXRz+cp49dqBZ1a7SHnsCSLaydkpSQkCogvR8qRSFkKmwy87oq4SUPLjZ93u
rkLIh9akeyacgEb4O7iLPwuh9JN3yKIlBHR/pnW/ZEgIDWseEhA/8MJ9G+Hr
jjzCCGz/ZzUmSIu0965vJp0XRt1aIvn652nRiIZc4rVgYfRtZo5L4yktio9X
4vMuFkbrdaciv+XQIvZ3LArzC8Io/Zca17sBWrTfIX+tmV0EDb06mdNBT4do
JR1/FEuLoAIxa7OrKnRoK3jj1Ql9EXTCeJmO3YEOSX9RuSBuLYLuDUs3zkXR
ob1LnhavPEVQSKH+x/ZiOoS0cGw3X4mgZxneT35O0KHGE4qDb9JFkG843jaA
mR55j5oc5f8jggKVDl8SPUWPjrEXnJ1tE0F5vnQXgqwO2C/15+aUCGLTWL/0
9sD72qae1GvsiCB4RtxWK40e+dMHkbNYRFG1V6u7Zw09epnGGnb6sCgy/Kz4
WmyaHhl7PtrqVxRF+umhBQoEBsSvuZMVpiuKhs/T9r4+woCMirYpT5qJoqOP
F6hlMQakm1pu23VTFGGbXgorVxnQ/wGGEig7
      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVl3c8V/8Xx62Plb3JbMksKptziaiUnYoQLVSyQ5khMuOLIpFSSimRWfci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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJxTTMoPSmViYGCQA2IQfdNNgkG5lNNBbvkLD73/7+1zwpKtNOWYHbTbxW6e
+/7e/tkLwxPLTX/ar3N/WCWy7r19bWzuXK9Vn+y5ri8usOV6bx+3euXj2x/f
2aeBwTv7EqMKI8+Zb+xFwBre2TcEqm1Wn/rK/vBXjZj+Q2/tORufXSw/8dT+
7BkQeGNf0JhsGtpy3X7WTBB4aT/PT9U1JeQo1Lxn9mesebm1LbrsjcHgsT1j
oW/Cjz979jOAwQP7tJOH/ixwu7IfIn/ZvmS6wM11p+/th5i3036rrsBvyS0P
oeoZGPhUNwQl3XwMk9+/3v7rz1dHnsP07xeZ+cWj0f01zPz9AvvclzpXv9sP
dc/+zf0X1/vv/LAf6v79F5Tdd4pnf4Sq/7Bf4oC53ZI5X6D8H/tr8yO/BmR9
h9l/4FCmwbErH35C+SwHMhdzVrM4/oHyOQ6YfueYecqE4QCEL3AgruxJLi8f
E5QvcuCLRXun3h5mKF/iwGQ2PZ2pu9mgfIUDLln3ZrxL5ITyVQ4AANyyzw0=

      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJwVl3c81d8fx++9NmlIJbIqJJE94/2pfAsZGWmoRJGWWZRESpIykllWoSFZ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      "]]}}, {
    StyleBox[{
      StyleBox[InsetBox[Cell[TextData[{
         "\[CapitalDelta]",
         Cell[BoxData[
          FormBox[
           SubscriptBox["", "1"], TraditionalForm]]],
         "/",
         Cell[BoxData[
          FormBox[
           SubscriptBox["E", "F"], TraditionalForm]]]
        }],
         GeneratedCell->False,
         CellAutoOverwrite->False,
         CellBaseline->Baseline,
         TextAlignment->Left], {-7.207199262384139, 0.8579378129345314}, {
        Left, Baseline}, {1.0522793474829852`, 0.13717092531922123`}, {{1., 
        0.}, {0., 1.}},
        Alignment->{Left, Top}],
       StripOnInput->False,
       FontSize->23,
       FontWeight->Bold], 
      StyleBox[InsetBox[Cell[TextData[{
         "\[Mu]/",
         Cell[BoxData[
          FormBox[
           SubscriptBox["E", "F"], TraditionalForm]]]
        }],
         GeneratedCell->False,
         CellAutoOverwrite->False,
         CellBaseline->Baseline,
         TextAlignment->Left], {-4.727406386736263, -1.292896185798674}, {
        Left, Baseline}, {1.1374827278007655`, 0.3840189748773559}, {{1., 
        0.}, {0., 1.}},
        Alignment->{Left, Top}],
       StripOnInput->False,
       FontSize->23,
       FontWeight->Bold], {
       StyleBox[InsetBox[Cell["BEC",
          GeneratedCell->False,
          CellAutoOverwrite->False,
          CellBaseline->Baseline,
          TextAlignment->Left], {-7.698360487229836, -0.4546775848990592}, {
         Left, Baseline}, {1.1188572961316898`, 0.7067467948220874}, {{1., 
         0.}, {0., 1.}},
         Alignment->{Left, Top}],
        StripOnInput->False,
        FontSize->23,
        FontWeight->Bold], 
       StyleBox[InsetBox[Cell["BCS",
          GeneratedCell->False,
          CellAutoOverwrite->False,
          CellBaseline->Baseline,
          TextAlignment->Left], {2.639892569166448, -0.4162212627576882}, {
         Left, Baseline}, {0.841888446055699, 0.203637463218728}, {{1., 0.}, {
         0., 1.}},
         Alignment->{Left, Top}],
        StripOnInput->False,
        FontSize->23,
        FontWeight->Bold]}, 
      StyleBox[InsetBox[
        SubscriptBox["\[Beta]", 
         "o"], {-6.909572890853352, 0.30957944965194883`}, {
        Left, Baseline}, {0.5111152018401427, 0.2243843016791097}, {{1., 
        0.}, {0., 1.}},
        Alignment->{Left, Top}],
       StripOnInput->False,
       FontSize->23,
       FontWeight->Bold]},
     StripOnInput->False,
     FontFamily->"Times",
     FontSize->10,
     FontWeight->"Plain",
     FontColor->GrayLevel[0],
     FontOpacity->1], 
    StyleBox[InsetBox[Cell[TextData[{
       "\[Delta]/",
       Cell[BoxData[
        FormBox[
         SubscriptBox["E", "0"], TraditionalForm]]],
       " (1/a",
       Cell[BoxData[
        FormBox[
         SubscriptBox["", "s"], TraditionalForm]]],
       Cell[BoxData[
        FormBox[
         SubscriptBox["k", "F"], TraditionalForm]]],
       ")"
      }],
       GeneratedCell->False,
       CellAutoOverwrite->False,
       CellBaseline->Baseline,
       TextAlignment->Left], {2.2567855856373527`, -0.18766086109208624`}, {
      Left, Baseline}, {1.7912199254473113`, 0.19780751036374597`}, {{1., 
      0.}, {0., 1.}},
      Alignment->{Left, Top}],
     StripOnInput->False,
     FontFamily->"Times",
     FontSize->23,
     FontWeight->Bold,
     FontColor->GrayLevel[0],
     FontOpacity->1]}, 
   StyleBox[InsetBox[Cell[TextData[{
      "\[CapitalDelta]/",
      Cell[BoxData[
       FormBox[
        SubscriptBox["E", "F"], TraditionalForm]]]
     }],
      GeneratedCell->False,
      CellAutoOverwrite->False,
      CellBaseline->Baseline,
      TextAlignment->Left], {-1.1846164660709784`, 0.960624016459682}, {
     Left, Baseline}, {1.0522793474829852`, 0.13717092531922123`}, {{1., 
     0.}, {0., 1.}},
     Alignment->{Left, Top}],
    StripOnInput->False,
    FontSize->23,
    FontWeight->Bold], 
   StyleBox[InsetBox[Cell[TextData[{
      "\[Mu]/",
      Cell[BoxData[
       FormBox[
        SubscriptBox["E", "F"], TraditionalForm]]]
     }],
      GeneratedCell->False,
      CellAutoOverwrite->False,
      CellBaseline->Baseline,
      TextAlignment->Left], {-1.771999154268654, -0.9451794566659757}, {
     Left, Baseline}, {1.1374827278007655`, 0.3840189748773559}, {{1., 0.}, {
     0., 1.}},
     Alignment->{Left, Top}],
    StripOnInput->False,
    FontSize->23,
    FontWeight->Bold], 
   {Hue[0.67, 0.6, 0.6], EdgeForm[{Hue[0.6699931334401464, 0.6, 0.6], Opacity[
    1.], AbsoluteThickness[1]}], FaceForm[None], 
    StyleBox[RectangleBox[{0.812431902375244, -0.6716602828206288}, {4.135595990411852, -1.4069568350025763`}],
     RectangleBoxOptions->{RoundingRadius->0}]}, 
   {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], 
    LineBox[{{1.0180266429953952`, -0.8314122123125399}, {
     2.104984906361759, -0.8361868652487862}}]}, 
   InsetBox["", {2.5965896709522767`, -0.8674210532067315}, {Left, Baseline},
    Alignment->{Left, Top}], 
   StyleBox[InsetBox[
     StyleBox[Cell["Single Channel",
       GeneratedCell->False,
       CellAutoOverwrite->False,
       CellBaseline->Baseline,
       TextAlignment->Left],
      TextAlignment->Center,
      Background->GrayLevel[1.]], {2.188003922423187, -0.8626464002704852}, {
     Left, Baseline},
     Alignment->{Left, Top}],
    FontSize->21], 
   {Hue[0.67, 0.6, 0.6], 
    LineBox[{{1.0303443015907607`, -1.0249846001028633`}, {
     2.065428197864458, -1.0249846001028633`}}]}, InsetBox[
    StyleBox[Cell[TextData[{
      Cell[BoxData[
       FormBox[
        SubscriptBox["\[Delta]", "C"], TraditionalForm]]],
      "= 0.001",
      Cell[BoxData[
       FormBox[
        SubscriptBox["E", "F"], TraditionalForm]]]
     }],
      GeneratedCell->False,
      CellAutoOverwrite->False,
      CellBaseline->Baseline,
      TextAlignment->Left],
     FontSize->21,
     Background->GrayLevel[
      1.]], {2.2561015471780355`, -1.0536325177203418`}, {Left, Baseline},
    Alignment->{Left, Top}]},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesOrigin->{0, 0},
  ImagePadding->{{0.1, 1.1}, {1.1, 0.1}},
  ImageSize->{919., Automatic},
  LabelStyle->Directive[Bold, Larger],
  PlotRange->{{-8.25, 4.25}, {-1.554167, 1.154167}},
  PlotRangeClipping->True,
  PlotRangePadding->Automatic]], "Input",
 CellChangeTimes->{{3.531526024068165*^9, 3.5315261034120417`*^9}, {
  3.531528041555667*^9, 3.531528294608048*^9}, {3.5315283249422894`*^9, 
  3.5315284384486856`*^9}}],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwB8QEO/iFib1JlAgAAAB4AAAACAAAAFK7+Q0S6FECmUq06jel9P+SCSb7/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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwdl3VUVc3XgKl7L90tKYogKaAgNYdGxABBUVBA2sIglJCSEEQRBV8RQVKQ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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVl3c8V/8Xx62Plb3JbMksKptziaiUnYoQLVSyQ5khMuOLIpFSSimRWfci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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJxTTMoPSmViYGCQA2IQfdNNgkG5lNNBbvkLD73/7+1zwpKtNOWYHbTbxW6e
+/7e/tkLwxPLTX/ar3N/WCWy7r19bWzuXK9Vn+y5ri8usOV6bx+3euXj2x/f
2aeBwTv7EqMKI8+Zb+xFwBre2TcEqm1Wn/rK/vBXjZj+Q2/tORufXSw/8dT+
7BkQeGNf0JhsGtpy3X7WTBB4aT/PT9U1JeQo1Lxn9mesebm1LbrsjcHgsT1j
oW/Cjz979jOAwQP7tJOH/ixwu7IfIn/ZvmS6wM11p+/th5i3036rrsBvyS0P
oeoZGPhUNwQl3XwMk9+/3v7rz1dHnsP07xeZ+cWj0f01zPz9AvvclzpXv9sP
dc/+zf0X1/vv/LAf6v79F5Tdd4pnf4Sq/7Bf4oC53ZI5X6D8H/tr8yO/BmR9
h9l/4FCmwbErH35C+SwHMhdzVrM4/oHyOQ6YfueYecqE4QCEL3AgruxJLi8f
E5QvcuCLRXun3h5mKF/iwGQ2PZ2pu9mgfIUDLln3ZrxL5ITyVQ4AANyyzw0=

      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJwVl3c81d8fx++9NmlIJbIqJJE94/2pfAsZGWmoRJGWWZRESpIykllWoSFZ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      "]]}}, {
    StyleBox[{
      StyleBox[InsetBox[Cell[TextData[{
         "\[CapitalDelta]",
         Cell[BoxData[
          FormBox[
           SubscriptBox["", "1"], TraditionalForm]]],
         "/",
         Cell[BoxData[
          FormBox[
           SubscriptBox["E", "F"], TraditionalForm]]]
        }],
         GeneratedCell->False,
         CellAutoOverwrite->False,
         CellBaseline->Baseline,
         TextAlignment->Left], {-7.207199262384139, 0.8579378129345314}, {
        Left, Baseline}, {1.0522793474829852`, 0.13717092531922123`}, {{1., 
        0.}, {0., 1.}},
        Alignment->{Left, Top}],
       StripOnInput->False,
       FontSize->23,
       FontWeight->Bold], 
      StyleBox[InsetBox[Cell[TextData[{
         "\[Mu]/",
         Cell[BoxData[
          FormBox[
           SubscriptBox["E", "F"], TraditionalForm]]]
        }],
         GeneratedCell->False,
         CellAutoOverwrite->False,
         CellBaseline->Baseline,
         TextAlignment->Left], {-4.727406386736263, -1.292896185798674}, {
        Left, Baseline}, {1.1374827278007655`, 0.3840189748773559}, {{1., 
        0.}, {0., 1.}},
        Alignment->{Left, Top}],
       StripOnInput->False,
       FontSize->23,
       FontWeight->Bold], {
       StyleBox[InsetBox[Cell["BEC",
          GeneratedCell->False,
          CellAutoOverwrite->False,
          CellBaseline->Baseline,
          TextAlignment->Left], {-7.698360487229836, -0.4546775848990592}, {
         Left, Baseline}, {1.1188572961316898`, 0.7067467948220874}, {{1., 
         0.}, {0., 1.}},
         Alignment->{Left, Top}],
        StripOnInput->False,
        FontSize->23,
        FontWeight->Bold], 
       StyleBox[InsetBox[Cell["BCS",
          GeneratedCell->False,
          CellAutoOverwrite->False,
          CellBaseline->Baseline,
          TextAlignment->Left], {2.639892569166448, -0.4162212627576882}, {
         Left, Baseline}, {0.841888446055699, 0.203637463218728}, {{1., 0.}, {
         0., 1.}},
         Alignment->{Left, Top}],
        StripOnInput->False,
        FontSize->23,
        FontWeight->Bold]}, 
      StyleBox[InsetBox[
        SubscriptBox["\[Beta]", 
         "o"], {-6.909572890853352, 0.30957944965194883`}, {
        Left, Baseline}, {0.5111152018401427, 0.2243843016791097}, {{1., 
        0.}, {0., 1.}},
        Alignment->{Left, Top}],
       StripOnInput->False,
       FontSize->23,
       FontWeight->Bold]},
     StripOnInput->False,
     FontFamily->"Times",
     FontSize->10,
     FontWeight->"Plain",
     FontColor->GrayLevel[0],
     FontOpacity->1], 
    StyleBox[InsetBox[Cell[TextData[{
       "\[Delta]/",
       Cell[BoxData[
        FormBox[
         SubscriptBox["E", "0"], TraditionalForm]]],
       " (1/a",
       Cell[BoxData[
        FormBox[
         SubscriptBox["", "s"], TraditionalForm]]],
       Cell[BoxData[
        FormBox[
         SubscriptBox["k", "F"], TraditionalForm]]],
       ")"
      }],
       GeneratedCell->False,
       CellAutoOverwrite->False,
       CellBaseline->Baseline,
       TextAlignment->Left], {2.2567855856373527`, -0.18766086109208624`}, {
      Left, Baseline}, {1.7912199254473113`, 0.19780751036374597`}, {{1., 
      0.}, {0., 1.}},
      Alignment->{Left, Top}],
     StripOnInput->False,
     FontFamily->"Times",
     FontSize->23,
     FontWeight->Bold,
     FontColor->GrayLevel[0],
     FontOpacity->1]}, 
   StyleBox[InsetBox[Cell[TextData[{
      "\[CapitalDelta]/",
      Cell[BoxData[
       FormBox[
        SubscriptBox["E", "F"], TraditionalForm]]]
     }],
      GeneratedCell->False,
      CellAutoOverwrite->False,
      CellBaseline->Baseline,
      TextAlignment->Left], {-1.1846164660709784`, 0.960624016459682}, {
     Left, Baseline}, {1.0522793474829852`, 0.13717092531922123`}, {{1., 
     0.}, {0., 1.}},
     Alignment->{Left, Top}],
    StripOnInput->False,
    FontSize->23,
    FontWeight->Bold], 
   StyleBox[InsetBox[Cell[TextData[{
      "\[Mu]/",
      Cell[BoxData[
       FormBox[
        SubscriptBox["E", "F"], TraditionalForm]]]
     }],
      GeneratedCell->False,
      CellAutoOverwrite->False,
      CellBaseline->Baseline,
      TextAlignment->Left], {-1.771999154268654, -0.9451794566659757}, {
     Left, Baseline}, {1.1374827278007655`, 0.3840189748773559}, {{1., 0.}, {
     0., 1.}},
     Alignment->{Left, Top}],
    StripOnInput->False,
    FontSize->23,
    FontWeight->Bold], 
   {Hue[0.67, 0.6, 0.6], EdgeForm[{Hue[0.6699931334401464, 0.6, 0.6], Opacity[
    1.], AbsoluteThickness[1]}], FaceForm[None], 
    StyleBox[RectangleBox[{0.812431902375244, -0.6716602828206288}, {4.135595990411852, -1.4069568350025763`}],
     StripOnInput->False,
     RectangleBoxOptions->{RoundingRadius->0}]}, 
   {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], 
    LineBox[{{1.0180266429953952`, -0.8314122123125399}, {
     2.104984906361759, -0.8361868652487862}}]}, 
   InsetBox["", {2.5965896709522767`, -0.8674210532067315}, {Left, Baseline},
    Alignment->{Left, Top}], 
   StyleBox[InsetBox[Cell["Single Channel",
      GeneratedCell->False,
      CellAutoOverwrite->False,
      CellBaseline->Baseline,
      TextAlignment->Left], {2.188003922423187, -0.8626464002704852}, {
     Left, Baseline},
     Alignment->{Left, Top}],
    StripOnInput->False,
    FontSize->21], 
   {Hue[0.67, 0.6, 0.6], 
    LineBox[{{1.0303443015907607`, -1.0249846001028633`}, {
     2.065428197864458, -1.0249846001028633`}}]}, InsetBox[Cell[TextData[{
     Cell[BoxData[
      FormBox[
       SubscriptBox["\[Delta]", "C"], TraditionalForm]]],
     "= 0.001",
     Cell[BoxData[
      FormBox[
       SubscriptBox["E", "F"], TraditionalForm]]]
    }],
     GeneratedCell->False,
     CellAutoOverwrite->False,
     CellBaseline->Baseline,
     TextAlignment->Left], {2.2561015471780355`, -1.0536325177203418`}, {
    Left, Baseline},
    Alignment->{Left, Top}]},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesOrigin->{0, 0},
  ImagePadding->{{0.1, 1.1}, {1.1, 0.1}},
  ImageSize->{919., Automatic},
  LabelStyle->Directive[Bold, Larger],
  PlotRange->{{-8.25, 4.25}, {-1.554167, 1.154167}},
  PlotRangeClipping->True,
  PlotRangePadding->Automatic]], "Output",
 CellChangeTimes->{3.531770775471271*^9, 3.531772953766519*^9, 
  3.531773117673316*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData["\[AliasDelimiter]"], "Input",
 CellChangeTimes->{3.531516701584017*^9}],

Cell[BoxData["\[AliasDelimiter]"], "Output",
 CellChangeTimes->{3.5315255951029882`*^9, 3.5315408548499093`*^9, 
  3.531770775532666*^9, 3.531772953878943*^9, 3.531773117749934*^9}]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{
   RowBox[{"narrowPlot001", "=", 
    GraphicsBox[{{{}, {}, 
       {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwV13c8Ve8fAHDrWtnZWxmFvqmsFJ9TIpuMUkYyklkJRcnIKEWSFCKltDQk
ysh5skL2jmzuIHvv3/n9c+/r/brn3ufcz/MZz5FxvmjpxkBHR/eHePn/+0iE
YenWXV4sPiDu0MfRFLh9vTbgxiVezEa1MrP2SRpo0/fE9FnxYoMWw0o7zqXD
2/djRQfUeTGh845aITrP4OjRv5N3hXgxTHXTW/9JJrCu5o4tL/Fggp2P5QPT
ngPkHVSM7+TBJNYKjz948wJkNQrfOxXwYPbf2/+dwLOgKCD1R3QSD7Y8pP3Q
o/8lXCgXqhPy48HU7tv0hLNmQ70g9T9lcx5M7lGpkbbWa/DWH1/8q8SD3eG/
zaXp/wZ89DuKdVl5sBfL9j9YC97Ch7rS1vlqbkzmxheRI1vv4I5Eu6R6ODdW
mLPY6mueA5abnjahB7kx46lSE/HsD8AixDrFOMuFWd1aPNnM8Al2fX0StPiO
C0u4xbxxZ/9nMD9apXrblQt7HcKXqkr+DFE15h+oklxYyE6ZPsWnuVBzwdlW
r5sTu+dw2Hmv9RcIaJ75ryaZEztvzOlI4sqDn2U8hk+tOTH3qDnWyzV5oBll
GDS8nRNrcRRf04j+CjLnFyl4GwcWrpAaL3MsH5gPpH40e8yB8fpex5YYCkAg
X/PKGzsOLOjIEG9UWQFIn1UhDcpwYFsnaJSUiG/wSOyADMvYNmzh4+U6Ft3v
YC4R/0T26zYsYIJxIIuxEDyaEp7phG3DJP+lKOtXFML3DX+Jk2bbsP4A9as1
kUXANKm/7i65Dbs2coN3m14xnI+rv+YzzY4dKzd4P8ZUAl/i/fzsK9ix1Mt6
skYVJVAWr1iskMqOFVRGOXDe+gE9Gg7u+GV2bNcnsW2iR0ph2bVegteYHUv8
8ynq1GYp7NYLd2eVZ8dkzEWefizCYfXmu614BnbsR1zwF6ZDCL5bxe+MG2DD
5hclb+9+gqCjzGeIhrNhOn2X/xbPI8A++PjczWTDdubtE/ti8RPw5ZvupyLY
MGmlvUsMOT/BPE9f7YAbG9bHJ2L1irkMXNWZTZkM2bAHUgaKCU5l4GV0K/rz
HjbsKIoNKiosg1XDaU/J7WyY3NS0ghhfORjotUWqrbBivQxPpt54lEOY3Nyn
vn5WjBYaqH8GlQNDk5oH0y9WrIqmcFxOsAJGDRMlH35kxfySvqdseVbAgZ65
m0HJrNjjgMv2faUVwJovVPPmJiv2oleIs4C3EiL6dbb43Vmx/u+zIcEulZDe
S2v/as6Kpd7LpUp+rQSeFI+YcE1WzH5dmDOZsQoKmlyzA2VYsUn1nRYtJ6pA
LMZh+gE7K3bQRbqnMqMK5i6pS7fOsWDHOTuLnMeqINXlOzrUy4JpPHy5mar6
C5LLhbYaqliwnYnpnU4hv4B/LijkwWfCVh+/ZVf8gosoWO5OKgumqVl86Sx7
NWS05a6WRLJg+rt/Wt00q4ZKGc0J1Yss2AbdovlSQjW8ObEnZ+U0C9azQuXF
m6tBVVX7Gr8eC8YllrXjN08NTO2RW4xXYcGuv/rFzGdWAwnZB+mviLNgmWFf
He7eqQHXq+MhtawsWMrrF3Qq5TUweNpU+dkCM8aQXCWzuloDvCdTgleHmLH5
r5e8RlVqQXFfwanRJmZs+dceqSnXWljuKSFdwJkxujMUVcHHteA+GPLvzkdm
zFiRKdjuVy1stTF7n8hgxjxTbn/+uVALLj8VPpXHM2OyghofTXf8hpbk5ZCR
UGbsRuzn68ymvyF2YIun4DIzNqE/6rcQ8BvkPhTNa7oyE/n+xVg+/Tdc+/Fd
0PsUM5Y1d2Qtu+w3mJBFhk2MmbGffonhMeTfQDQS505gxsiKJwv+sNbBiT2c
p5nVmLGUzTqB3N11kHO83LlVkRnzvpwZt8OwDuwqzm3XkGHG/ljghsfc64AB
f7l9tzAztm5/MHxPZB3cs0uATG5mzHdGVHfxWR2Qfe9XJLIwY4wfDXS/FdXB
N4VEWNwiYclSdq/vtNWB0DflHnyZhFEvBLdGT9TBoZV8n5EZEmY6flCjmlQP
OpLnH9uOk7DEqSui7hL1gFsGDPCMkrBiMznPG6r18PWCVid9PwlrETWMkjau
B+Yww/+k/5CwT8e/snmdqwfzT4ndTq0krMJqJtPvaj28ygnbV1hPwjamxepN
4upBOVCIRaqahLl8KMnnzKqH8VW+uttlJIz76cv5X9/rwb+clDNRQsL+blQ7
32uoh+TUq+/1vpEwrTHJUY+RepBVZ6q6k0vCGJcDD/qs1sOz/iCOr++Jz8m2
5Zk8DUB28i/DX5Ew25Hl0xwKDdDRlez79hkJW+L8tT9fuwGuCjVW+6aQMBbm
VP4M6wYQH9JI43pIwjIqr7z+5dUADtevvrh9j4T1sjlVqtxqgONKkr69USTs
WJnl747UBjj9i+kIVygJy7/JPJb/pQGytd7PiF8jYe96uwNrahugl/Nx7bbL
JMxi9cthjuEGsJ3K9ez1IGGPulvrrq01wLFDb14lOZMw/96yRjb+Rki+ddxV
1Y6ETeySPVmk3AiHhHsjcSsSdkQ4ZXe0XiPw3U8q1jQh7vddhoSnYyNwmXT4
vThGwmwmvZxcrzaCHlv2+83DRLz8m377JzTCqiN9n5kaCWMv5lNPf9sIFcY6
fx7uIeKT2lA2WNYIMSUeL+vlSNjP/NYDhn8bIYU/23FNgoRtpzFq9S40Qn3+
HSkxQRK21i3s0s7SBPG3Qzp3c5Ews9NbyoP8TTB0S0xlJzMJ61qzVxbf0QR3
1OK86TeZMOPjUjmJe5uAz2jM8McCE4amqJpW2k3Qx/+433SCCavhDq/xNW4C
tf6TYW9GmDCn5kPk5dNN0OWV+QH1MGEv3nzPZ/Fogr8VxgdvtzBh3v+mKvOu
NcExnYigqWomrIEuuUjoThMYg3PIaCkTdnju6qp5ahMsbss6YvuVCRsT7LIP
zmkCl3jNUdW3TBjT89qOfLwJTkgv9bqnM2Fseom7drQ1wQ1rjT29CUzYatN6
bD+tCbhQUFLYLSbscw1uz0XfDAIV7LXaAUzYTpb2xgaRZqCczP5Ad54Jy7Po
TMZUm+FxvVhIvg0T5rbimBhh0QxOr2ZYDY8xYRo3HG9+8W0GQVM22pt9TJid
cOizf/HNED15NLdcggmL9wm5ZJzbDGsaMvJ3WJkwc+Foc0p7M6TL+Vwem2HE
NM0SlTrWm2G49s/J7j+MmHJwxT4l+RZYEntzwRQxYlVdFcGLJ1pA65vRYa1X
jJgXv+T3Y2EtkPyR7VnKbUasbjBlUDK3BThOZNee92TEFtPSh+6MtMDq3GbK
MyNGrGMg+ni0aCuUlHz5cWw3I6a2h3Wc26oVOj0qp08zM2Ing6KyJOJboXRT
V5k8yID1G3PNZv5uhSMudD/nihkwh2GbnqhtbaBtELM3IYkBo+c8ppRn2gZe
dHvIv70YsEu8kUPsiW2w+5DYZuERBixfOPeVZ1cb2OGOyxcFGbDluAjlHOl2
OCy/EEwao8fcbi1/fuXZDgeTuzmTSuixAYHbjooF7VASItSlHk+P0Tcf/8nO
2AGcZg327GfpsSo+cTWBEx0gpm6oqbyXHgu5OGwtmNkBnr0svUWbdFiQQJbH
n6kOqJKst2ivp8OY9uX92YV1wuHyHFrqUzpMwWL8cUNCJzQdFtmm5EWHBVc1
JCYNdsKlczNDLw/SYSM8hTv19nfBF7l4eQVWOiz1IPvN9xFdcOFT5rNnH7ag
6ZCVZFJLFyzn2X+9arwFce4RB+tl/oBfya0tzrFNuF/Jraxw6Q8cxd7/S76z
CRzXd9P8f/yBdIxsq6u4CSl7BjzusXWDfOkAB1a3AT3nrcSPW3fDnf/W1PMv
bsCt5V7LiPRuUJ11G63k3wBGp6N5UqPdsFZzOOx+8ToEKXa+Iin1wIzoO73d
rusgdp2tXOpiD3hIt69mca3DY9FnAmdze2AKWnewF6+B6M09U4UzPZBp7Orp
5LEGbKcsHiip/IWYxAKBbJE18NdTb8/z/gtKM4q+7b9XITV2T+vJ138BDQqr
jISugmuxSqz4wF/IvZe4XK62Cl1+V2J4hHphvmtXnvPECqQwTcUdMemFmBuf
WN5nr4DN3intn6G9UMFBXx15jnBjRklWbi9UcZU7tEuswEBCkt3WYC/0sihq
hvUsQ8OLs9g/nj5Yjvtx0D11GQYu8HNE6vTB1ilxea8zy+D+35+IQc8+UDVD
3N5iy5DU5XdAOrkPvqaWVRr2LgEppVnSHvXBr8JnR0aeLcHxzPSzubQ+sIpd
4xd3WQL9pvLmQ3z9cMDRrbNFfglwX4YiQa1+KGEXTxofW4S6zgAf+3P9wLLS
rGH8aRFOqcityN3uB3f1y5tdVxbhvvD9mtiP/VAY2T9wU3MRzjmqW2a29QOT
VxmD4sYCbPv8X37Qaj881NOV/v1zATRfW+dv5xmAfctKqyejF2Dv3T7/nh0D
4MfK9LjKaAF0clI1U9QGYP9ZFiEh7gWA6I4EC4MBuO0n4WDYOg/PPbrSGO0G
YAfv7oJzj+ehQCF+Z57PAHTusQ1zt5sHIfxQsWPYAIi9v9LiKjUPTKyKvUwP
ByBCfu/O88NzkOtkw5r1agCUKq5NB72egy+nxfvUvg+Azmr1+c9ec2DoPAmF
tQNw0d6PVUxlDpr8V7139Q7ATfcZ67r5WWAv75W6OTUAKSaHL3UWzkKos2XO
V/pBoJXw1ZqHzsLgcq941fZB4Ms3rTTQmwW7C2EWOXKDkGqw92z7tllYve4s
fE5jEC76fOlgaZ2BjYeRNn0Gg3DuV7fVTOoMaFn6CEqeGYTXV5juP3eZgUD9
rq+iXoOAtR24Jr9nBn6kus41XB+EcDu3vrtL01CF64qp3xuEO6d6BXvKpsFQ
hCpi8nQQKn5cfSl6fxrs3+VlcOYMwpnFpT5T+2mo+5mtea14EHJe26b6K07D
rWwu/9jaQUhn1HgqMDcF3bqqy7p/BoHJ9tANnodTwBCW+PIVZRB+H695hFSn
gLOr9XnuwiAEfTtowtQ1CZTWGisvxiHITJJx+HJjEiZwJejkGQJ5LcO01B2T
EMPTO7kqMQRMbVlvo2smoKPywJ+/ikNwoly/QOvyBOg36uhFagwBN8M5tUCR
CTC+yKGyojsEDjH7n87//AfDGdP7jlkMgex7RnFfz39gdfm3i6/9EBjEijs8
4fsHBVfNj4VfGILTniUHFYrG4bOsQXq0/xAMS/AG1TuNA6PKwIXbYUMw6v5f
rDbzOBxcpRQk3BuC404kUHw3BnrTYolvnwyBUaddzHGTMZCZ8hz9+3IImIvK
lYz/0SDo9eFzqrlD0BqQeHviDg2O0H93KvwxBB/suwzGZGngFcrW6F87BC2s
tjL0P6jgnfWW42LnEKyjkLuLJ6iwZpHV9mlkCFj/ngxLGqbA233dMjqzQ6Am
d+fA+8sUuCZ8gl+abhj6waiBd50MD9wudZzhGoaMbacUX0eQocPDJGJWfBho
LOP3LElkeFg7zjymNAzXotYdmSJHYfLqAqfuoWGIyQ7IKNgcAd344fENo2H4
pKqY5h0wAlICY+9E7IZhh36t937qMMi+dZZO8hoGrs8i58VPDUPO92cMnjeG
Yeuawm39siF4iPDN5LhhUDOOWmjdPQRNt8MaBJ4NA5V8020ybhDgHJ/ZwOdh
eJl04nHl5ADoOY4/mCobhqzHLpXxJgMQ9yh1/VD7MIRhSyqs5v2QfybN+geF
WP/GtFr1Vi8w3djV7bk6DIMvuWyH3v+FHaHcDoc4R8CBVDw6aNUDFb23LOWk
RwCz6ck6tfwHXI7OjkkeGAGbdOxrV0oX/KtoVZDUH4EYccEbG5qdEKIQPiN8
egSqlS1inTragXM78x6S9wioK4jdTPdrA3nr+eaumyOgYGg0Yc7VCo+ENOhi
H4xAxpMqI753zSCnQBbgfjkCbjUbdTf0iXOUvEilY8EIHD364o1BdT1UNRTt
vlQ9AsXfWbP2s/yGuD32/VrdI7Bf/rRtvVE16PezCH0bHwHeQzqWMkmVxLlG
4EPv+gicc/V8rTBSBnOHCnXecI6C4yfrc9XEc/jZn02avJKjMBtm9OmrRjFI
3L7evv2/UcCpH7WPsxeAePA0X472KJwZZV/Jm/4M+35wv+swGYVr9I2+cV2v
AX2aZ3pgNwra0WTWL8tp4DUao/bHYxSEH9YsZR0Kh8KdvP8+XB2FrGLto0Hf
InHcscaHK2oUzCiCl59PP8Xb8r3vrj4YhRT6sbPL8a9x9Ut1j/0yRmGbzNiS
oeZnHF9xcrz6bhTQdNk59viveGh/jwh7wShEuN2/a1b9HfevK/RU/jkKPhe1
xHByCY5Ft5kO/B6FfR4r7+L8Ef6DNs+3q2MUmulqxZ66l+EFFFcr5oFRuBnC
UhlqUoE/Dg+nhtBG4dYDj5saO6twjiqToQezo6BxXyzj9/gv/Fv9Voje2ihU
dlyKNM2uwf98eyr+lJEMz3VTFDotf+Or2WEHU7aR4XeqzbPYmTr86Y8FJ2w7
GSyW3n9+ENGA94hWyj8SJcMO8YYcLsYmXKGzWjxNhgwyGp4f95c24RS6mzU2
u8iQ6UdHafVrxtcmPmRU/0eGCdLCSX6ZFvyuUuDsoioZVE/YdgrXtOBKZtab
w1pkMBgeZ2TzasX1nRIGEjEyzJoGyHGztOFWr0rTmfXJYLrKI26b3oarOBzZ
cdSYDPQbkYbb/2vHT8fU6hpYkCFx7OF1v8J2fHd2b5mYDRns3pt3vIUOXCzi
hAl+mgzsFt6lU6gD55poDlZzJEPLaGL5De1OPCHqXFeYMxnKjb7G3s3vxCWD
e/qzzpOhkt7+u+3uLvyUScBmpicZ2FgYe3akdOGWSdijYF8ymL10tlEk/cH7
y3NW9/uRQULvl0Guzx9if1hv1AWQoc/IJXSt5Q9O8SedNQwig+7g85Nmat14
25La8PsbZLjREvR2OqkbLxlP1F0MJUOsHSpSnO3GO6+sfVO8RYbjdDek9E17
8OfS3wKNo8nQflbjbVx2Dy6Zt5R/5g4ZWlmtLUw3e3CxgTMfztwjw2tTB8kW
67/4te3ej03vk+GxsJ2w57u/uP0B+Ty1RDIoI9ndrlt/8UiXAD2BR2RoW969
jce6F38p9yl18jEZfCu0ZEvf9OLUSW6WilQylK6UaeMbvXgMXjLyOJ34vRqm
va5WfbjX3toE70wyXDlXE73xtg9n7Tp44VgW4XhetR76fly2dKlCJpsMXWer
VE3s+vHPxZ2rzG/J8K7GQy2joB+PpyVaL74nQ16Wywsu9gH8HFslz+xHMviB
ZQmb1gDuMkVzXM8lw/UZTRNXrwFc/d8Ze6F8Moy+CxnGMgbwV+omvHrfybDi
xpGMWgbwSJtan5hiMkRe3dvIwDaIX7vzTX+glAxKA+7yckcG8XL1GssTZcT6
6XqqutcHcTHzKIW/lWQwXgf3wG+DeGAxqEfUkOEINa6rfWEQ76wUqjlWT4Yx
nU3pQPUhXPbWwpZsMxn2STft8QgawicPx9TvbCdDL9wVKC0dwo/26Mwf+UMG
Zo2uf2HMw3iomTljWC9RL+22aUUWw7jEylurvkFiP/3CPl9KH8YjRdaZHMhk
KNLx1nz1bxjvOJCzujZGBrXk4oSTOiN46fXOrqIpMqTym+iEJo7gDeJO9Cnz
RL5kCXUL0EbwafEviY9WyHBJ7bcm59FRPD1j0PPTJlG/10LfWqeP4mo/QpVH
GSnw2NRGrWt1FK89HqarxkaBHzp8/WFnyDjfDamxdC4KmC6VDKmWkPE9P3/t
keCnQFDRwYVOKQqe5Lw091mEAtbd5FvGURR82Eh+66QUBYT2Hpz3/UfBS0vf
z3HIUeBsvO2wlA0V/yT00r5JkQKTR0rctHAqvnaz43OGCgXYQ3/ppyjS8Ntv
Uk8FqFPAq9fNQPAxDc+MK/1w4jAF4hteO8cyjeETCt7s+45SIIv/LGOD3xiu
o8xdwWNAgVcHi00LB8dw30ottUlTClxlJp+WPTGOa5rf/1llRQGV1Wf+FDSO
C/Bmdj8+TQEa+uvYo/IPF1/pYjp7lgKM78/G/cn8h3eddP0r4kaB/bK2F0p4
JnCZZB7RKk8KfFXcjD0bNoGTVtWenLtEgTNV/zFmTk3gyaeenhoLoEBkKOsD
e8dJvLbJKdLxOgVsO2LIAXWTuPX9nuCSMApooCRyw8Ep/PJMQB1DNAXSq2Pb
TbKncFmDf0dV7lKg4ILfl3HWaXzP3L1+3QQK3C7eZ6usM40/5BruOvyIAkra
lul9ftP45IMTT0RTKeAu0Du/kj2ND1/8+O1vBgViLgzSX+2exv3zezcjsijg
woEemXPO4Jfeep/jfEPEQ/vqx5swg1ePK69fz6EAk/WkP93lGZzhUSNf42cK
yAQdOdTyfAa/axPGyZJPxMeO8/ps8wwu9ygsULaQAoHkolYn+llcN7FsSeEH
8f25WlZJlVk8IDzSlu8nBcTpd9ApO87ieM548EgFBdLGrFDc3Vmc/uGz08+q
KVD1ZMr3+PdZ/CyLG+lYHQV8C2vNHEdm8UcWhS9aGynA4G9a2sU9h3sZ+Lib
t1KgSLJUrVRrDme/jj353kHk59w9PSG3Odxb/0Y0TzcFblQ+S5qIn8M/rsTH
2fYS/zc/vc/4+xweOp/NkzhAmKI1qz04h4dXmV4rJc55PzQiPzWxzePZZowq
/WQKbJtWZObbP4+ndHdlLdAo0Hfw/BzPmXlcLoBTh3GC+H4rW0Bv+DzOu1bt
yjZNgelXGuduv53Hdc3lrrHNUeBBhv6Bnc3zuK3NySamRQqIHIMufHkex8Ra
i9eXKXDU1Pb6JekF/C9DaMjsGgWK1a9YHjdYwJ+MtxhRNilw/M8Tz5OXFnBe
e2ajv/RUaNkK8P/0ZAHPeq+Z0MJEheSNzgSXnwu4kHKq1G8WKggc2y1xa2wB
V7d6NFrFTgW7lYlQCf5F/PzI0vcqTiqQ47AFTGcRNxAVt/3NQ4UFSzO71QuL
uEMTr3v7dir48bRtWict4uk5v3xGBakglpbqfgYt4tyGqh1rIlRI9ZyT5ZtY
xH0dQseEJaiQt1ctNVx0Cf9FVWw9LE2FXZ6av98bLOFsdocfue+kAttW664H
V5fw76VuPCnyVMhqOO2w9/US7j/030bTbir8MNouEt65hL+JkBzn2kOFuxyl
fSGsy7jYlWEdSxUq9HmyNoloLeMPq0NUUg9QYQ8PV7Ce9zLxuHuhZlSdCj0J
bc8nMpZxM1U0dECLCk+a9fjWmpfxtp8RO29pU4E9cybBkrSCJ87H0bVgxLle
ENTaNVdwYb09PyWPUcFf1Y3s5L2CM9z0iXI/TgUNbLC76dkKbnY5wuSdERU8
9k8Ibbas4FkflNdGTKkgL7o4TRQ3nn5AylmAeE44EskX809jFd+n5HbsoDUV
HgxeMzjtsYr3PvnlYHaKCkMTCxd7UlZx7u0HPCzPUMFQ0CXSoGYVd70qoaDr
QIXZfvGuwKVVfOPZuIukExFfsyBWHdk1vEX41OagMxVUjXVCrpqv4YttrRN3
3agQwS5M3by2hk8NLxiIXqBC5RXuii+Za/i6fKfxXU8q7I6ha/evWsN9mUMc
e72pkFjB81pxbA2nyuuIcV+kAkeiHFfptnW8VHKXjdRlKiS8OPNKQmkdP6jk
Jsl5hQpX7K+ZaRus4yOjzxs6/akghXnmCrqs45QVP7bQQCqkmeUXv72+jh/5
U1TBcI0KcGlSauPBOq7kx23uEkSFvT0q7ZLZ67jTiNTJ58FU4A9OSpb9vo67
qYtO/LhOBRm62bPK1et45tJEYtENKqRnxL6071jHVaY2VVNCqOAVXNA6PLSO
z3TU7bK/SYXlssDHSxPruMvObTuYQ6mQHWjD07a0ju/7/mhXKuHDCnq8xXQb
eNtTt3ixMCrol4bZzbFu4AK5UaNxhDOOeHX/4tnAf51jWZwnXPj4Yn+08AZ+
yGEpzzqcCsomAw7h0hv4+HFLtVzCYtad8uy7N3CuyyuvuSKIfGwRkAvYv4HL
x7w+fpnwwt/hJ4LaG/hLk1GrXsJpMG111HADDzbZJJ26RYWtIyoLRqc28Pfx
C9FDhC28cNlw9w182iR49FYkFX7r4437gzdw7dd/t0EUFQx2abi+u7+Be9gy
FAhFUyF6eo7jvzcbOO5p584bQ4V3ze4Tm+Ub+MN/HU57bxP/f3usg+3wBt75
sjPZ/w5Rf10FcheZN/HCX7teD8dSIX8wvujSnk1c9f1sw817VHht2XktwnYT
z7n+aeB4PBUYrp4eRDGb+K1pKS0sgQrG0WVtOsWb+Ds6rOhCIhU8k8pbmOY2
8WvHz3/7mUTsz1p+HM/eLXzDrHDF6DFRHzt+W9tc3MKPG2QjxlQqBBSilpK8
Ldzg7Ye6sadUaN/V3qiwvoWTg894bD6jQtB6b5CGLB1ifn3w6uEsKvhI1ZTv
M6FDyfrNAS+yqRB6iyZGDaBDL6cex+15R+zHgNz44ed0yJPxX0r3ByrUWrFy
8TTQIad19gPZuVTgS/muBut06FgJ6/d7+VR4eXjRIFuJHql1V9nGFlLhTQtf
pZQ9PfowPS6VRjzXH1P+JxkVR4/yxrvXi35SAYsj7/yE06Oyk+/qRyupEDVI
PhM4S48W34l5CNUS8Z01ccuTY0Cs6YlvjBuoEJw+cRZOMyBfLw6/my1UKGDh
PDZ/jwE5KQuVve+gglG7rcEHxIDIYjX5jd1UUHQcOnJ8ngEN074lkfuo8HFY
mPRcgREdZp3u/jdErF9VXpV2hhFVL48f7SdTobpo/YZYHCO6mHa3sWiMCmfo
FDEWnBHp3NjWcWOSCp8fLb83nGZEHjLrLDtnqcBkMavTLM2EMCHBkPcLVLjY
Sn2UYMGE/I4FFfKvEP0hM8H4ZigT+m9f+zuHdaJ+GWfykj4woZjk9edRW0Q9
DV1Mbu5mQq3vbUzuMdCg/GEvRY2FhOavGH24TKJByquwyMr9JPSKvVBInZUG
hvkyY9EOJNQ946LQzU6DD4eFZiNiSGjd0bnIkZMGE84n7lZ8JiHd2wljFdw0
mKxz87f9Q0J8s1vMXHw0CPZJWzChZ0Z7S9zjDvHToMxmMTV3FzOSnUraaS5I
g3tRupPJ5swosaY7wUiYWL9Ydh9XIDMK5rz1ba8oDYb0xIV2P2VGMaY68XTi
NOBveRK68pMZ+WolieASxP1o06s8oDCjA9NWbj5SNAg7j+LoOVlQhC7TTU4Z
GnStWtja7WdBC1zWns930GDd0NDl4ykWdCksVlZJlgan+d0t2EJYkOf5pYc5
cjQYsEszDHrBgjRCXKIVFGjgqipYzFZNXF8S9jZ9Fw3IDy05KyZYkPzLM5E8
ijQY3rHj7KftrMggtupSuBIN5qMasKaDrMg0k5Y0o0zEZ+XC3V1OrIj2Za7v
3H80uKiRFfotmhXtvXKFuXUvDWredNAFf2BF74L67+vto4G6iEyzZxsr6qVX
ayrcT4OjruH1EWusqO1V8vReVRqsys7vLtzBhhJExmdeq9HAzC3hA6MRG0ol
X/8so0EDNdOXkycvs6FAhSTKU00asLc0x2c/YUMHdKXURLRo0OemdHUUZ0ND
b45LJB+iwcdsC35mChuSuCvAtV2bBp847yaucrKjmDROl/s6NHiUMSaSr8qO
TKoaL7BjNOhOdmbfZceOsifynW4doYGoBFlDP5wd2b7yi1w5SgPN6Uh5xtfs
6NDkJzbvYzT4IXhb36qOHeXPfJDr1qOBRHy8ivIMO8J+DPLoHqcBafXtYKTA
NkTbeMiebUCDu1bXl2wObkONxaH2DEY0CH1i/i/Ffhv6JHDZ8ZQxDRqDD1uZ
hm5DDuvDQS9NaJDLrc1/8fk2hE2+2EMzJfLvptkbuvJtiPLFjVfOnAb/fbln
wzyyDQUIXvpzyoIGCg+1PWOYONCTUzvPhJ8g8qNO0D5elgPR8tRin1vSwMiF
6fmuYxxodvZ6+HcrGvg37PY+TxySP3OfDqyypsFcVrPHmQgOFJwkXfzbhrgf
zOG6yHMONL54rbj6JA32XlG9UoRzoK65Hys/TtFARja/yaaPAwmPO3Pk2NLg
BP3OG6QNDpRyyCbt4WkaVMk/jhgR40QyzxwdAs7Q4EX1VDPXIU5kHh0jYGlH
g8G/+HzmGU50wz8oQdGeBnyVOg3fgjnRW7vB51uEZZc1Tl5K40ROy80yLQ7E
fuesWlNKONGLPfJjLxxpkBRqKHWwnxN1OA23+p2lAbeskWU4Axd60Z729agT
DZRYAu53y3MhCluz3fZzNIhdj9R0NOFCqbwnE0YJv6CcV5K9woW+zeZyFjnT
wM1t982jaVxoJ31E+AMXGggF/tOqryB+T+vvbW9Xoj7km8U6prjQxxe5H4zd
iPgeoul7i3Mj3wwV173naWD9R579qRE3SrFQYBV2p4HYfyaPfYO5kdOCWzfp
Ag2CfvxBtPfc6PA9pc1lwr/Xu5q4+7lRhWfG1RkPIp4q2U1TbDyINPJPecqT
Btd7td0V5XjQUlcQdcaLBneeSS0cOMKDCpO3261408AUXp1iceRBQ18VJUm+
NBjNPySacZ0HNc6xFvBfJPI5hzVhOoUHUURZkxQu0cBi8/7EwnceNNFRLax9
mQY2aqedX3bxoGNPPJKt/Yj75Xq0f2aZB2GXf1j6XKGB8WJZU5MIL7o4H3En
2p8G0nEnl9QP8aI+vjTfZwFEve10KBN04EXeq6DyLZCIh/bOGudQXrR9/tBK
3VUaTPF0a3C+4EUHjkrP9V+jwROSNo2lkhe1bl43mAqigYmGRtgxKi+iX+VT
WA2mwdv52+Fft/Eh5if8ZVvXadAMPj6Ge/lQySdL660bRD81gz/zlnyo/8K1
HcshNHjPLn3nTSAfMhA9EkK7SQP5xLQ7J1P5kNGuT+UtoTSI/GZmOPODD40P
HXXLC6MBJfzeF69BPqTlum8kNpyo/w+MeoVM21GKb1qnbQQNotb2721Q2I6G
D5dMiN+iwZnkPudnRtvRgyH9iQ7C06sdT3f4bEf0zJ+/RkfSgGMRuZvd345e
KmZrKkcR+XU5R1I0dzvaMxEe8Ytw4pH3UyEt21ESFHy0jaYBPuPe5ze3HR17
hY33Ez6XWFI1u50fKV8UCXSIoUFalOHZ5QP8qGMpK62ZcIEJx+FQK36U2C+Z
f/g2DVRsFptu+fGjMAN+hWeEmatu+TM+4Edv+WrPrhBuMbF0Xv/Ij/YJf2k3
vkP0r/FvP3zq+JGZRzfpMWHn8tNJp2j8KPy2g18P4WvksoEikgB6ld2SKRJL
g3jptXspMgKIsf+HsCXhmCqJgMXDAijgCp1zFGHhW9Me7acEUBSrIeNXwnSy
wQcO+QmgoMFbYX2EVdxTHu65R1wvbnyadJe4vjrNIO+VAHo2eZJlN+GPJm3c
baUCSHZgYt2QcLPl/jdPOgWQJ6tN1gXCJxy62tinBZCwEXY6irDe4JezaqyC
SOv+0cuZhF+FNojJSguiTxK6KkWEjfSkBoc1BJG469W6FsIvyM+vRpgLogSO
Dz5jhOPoJ69zuQuighjh/+jv0aD1d4zu45uCSOfzLjEhwmk/9/1UThZE13zP
qCsTbrLS8ej/IIhK7DgCMcIZyYMCqFIQLbhZVlkRrp6KGO/vFUQiV2rYzhP+
r5JL22JREL1g8hK9SlhXyeDSDm4htKPHqTaasNND0SH3XULobUrXSBJho+Dx
2n1HhdAJj87/nhNOEvy344G9ECp5ynnhPWE5Fq/o5KtC6I7VO+M8wjH08qKW
D4XQoMTeB98JXw5Lu9j6SQhRn+lOFBFW9LP32F0vhEDtDt//TaI4SDmPC6H7
Sb5f8gkj3Kg8ll0Yzfkx3vxA+J9de+QnRWEUpVAn///1owzYAnuMhVGb2aOz
CYSxyacXhX2FkY/v8d5gwmugu+D7QBgZPik65URY3WNDhJwvjM5yxcb+Pz63
b3i73uoRRrxkipoY4Xz/8DwjBhGU0uUrNU3E/3zaT2UdRRGU87yCDydcjf09
6mglgqSmygdjCGd3tVW+DRFBJX2BrkaEPTzvzkm8FUEib7mDmAl30undLmgX
QWdNBhlLiPxaFlFt9GEURSvqtlOehFcF6fMO7xdFsbOzStsJS+RYNog6i6LI
Bq3PX4n89rA4eWMzURRx3y25Zk74+wcD2t8KUVTJSH97mKgXd57NHe+WRFFg
dxT5EuGgTs/dp5XE0JZMwYslov6kRpS2es6KIQa24aarhCls3EU7H4mhr5GH
784Q9Wt9M+2h9G8xlL5WM+NKeMkgdeUnvTjym3ZWbCHqXy4vI2NRUxxV57x2
OkiY8i0+NueSOBoZX6lMJfpHwxUlpeY34uhuVMCDRaK/jCeluJ4YFEffhGlb
JoSjamnPRUQl0JWCBqsMoj/tUHs+KmAlgeLvHWsfI/qXeseR7n33JJB/Aqll
P2Ggax2yrZRAM7ud0wOJfmdZ5aEUuCmBJns1EwqIfpjt8rXQX0MSkfMmWOeI
fslV3hIClyTRlfuYlzLhkIZZl59vJNFIdqOUC9FfF/sOnh8dkES8k9cePib6
r4RsbkaysBTKP1SkXkv05zn2/aeRuRQi+/KGrBH9u/6VpZxZtBS6lGT/V4mw
zHZLqlKJFFLl0KqzI/o98yjTlN6MFPr08ULlXWIeGFYMhFbwSSOYVThSQsyL
sJPy6peVpVEmz5PvE8Q8CWsf4s3Uk0Y6yqIvpQnLBRo6GzhKo6KAz8E2xPz5
b7dC57lAaaR1wjH3HjGfDjV23RmJk0Y9128XVRHzS9X7CHPNS2nEuc+GxER4
5QyyYi2WRjwWHBvHiHmnFK6wmdYkjY6EX2WNJebhu4hcyZuj0uiR3dE7rcS8
NFxYcn27Io1m75zpkSH8MIkmJcIpg3Kmza0DiPmqFID0a6RkUH3L16MNxPyt
1lwOL9gng54uhUwoE35w5Jhq31EZRGl0fvjAh4jXaNQtHSsZFJWm7blOzG/d
l2XnOpxlUG68V4YP4f8B7brdkA==
         "]]}}, {{}, {}, 
       {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwdl3c81t/7x637vs1sIrJKkSQUSc7bSiWlIpSRGVkV0iArEQlZLSWrqaSi
4tN1zBLZm+ztvt32Hl+/3/uP9/txPc65rnOuc65z3s+XlJ3naUcmBgaG1o3X
/337g4/+XI/kJabK7B6pz9LRo+D16zQvXmKgrD7KZ5qOdthevaJ0jpew6/zb
ED1JRxmDZ/MHtXiJZ8sdMnfpdCTTbntJUZqXqOGM2mtGo6NP5CMPt7PwEuoM
l74wjtGRzd6fh0f7eQj2knW7O8N0pCtz4+mTEh4i8HDb9L8BOnJL351uksZD
tPiEinP10dGoX4z3/iAe4jARlcjTTUf13mclra15CEq8v+BQBx2pmqjmj2jw
EKdteo2jW+lIuq/TfF6Ih3CIMVinNNHR2XpB0WMD3MRlwQPNJ+voqNymrUnq
GTfxtUMn2rGKjr4ve3PnnOYmXBom/hn8oSMjtZNj+9m4iV+jVTdmS+koLbUu
lgqbCPImFxH3Qjoa+Ossz+27ibBXMPTKKqCjvUdvdbQpbiKEVBm1vubR0Yd0
r+rIIS7iLL+wUkgOHfldzpe3fslFXPi2mUEoi46wZoHgA0suwp33oYPbKzp6
+rgrz0yEi8jh5BYIfUlHSsLR6vPNnITboy2l1k/pKFVfFV4/4iQaU3UVF+Lp
SOirutfr85yEjCg/2fgBHZ1muRq2TYqTWMjYn+4YRkcfOZ0s+Uc4iKj6f/0a
gXQkm0u2tvrMQQSMmOvXXaejz8P6C6MBHISb4oKO4hU6Mr0vmJR+goNYGOY4
f8qFjsj3LmZeleAg/rPpZ9ey3Zhv2e6Hh6bYCcvW2uo5czoK2n2ujFbGTng9
27bjtvHG/mV0fnBNZide0BUeNBnQEbNQVt4LH3YiUORgMBOio58X845fPclO
/LjwIpBlPx25B9NbK+TZiQGOt+QuBTpiP2FQEU/Z8Ld9FxsvQ0dJOdn3vw6w
EQ9eTz/fIUpHnI/EI4RK2YhjO+rfPeGhI4fBgD0pGWyEz7Yn+ybIdJQcWj6s
EcZGfBx89F1+dRx9tKJKVbuwEfFfJL4enx5Hz862HdY3YiNKGm5nmI+Mo3Pm
ocWhe9mI7igy66mucTR8rIv5hhAbESRLOafeOI6QUJsXZYWVMByo2cxbMY6s
Ui8GiPSyEp08Xwr/4XGk2XzjYdJvVqKOzlCXkjuOWp4xiVz6yEr8/k35Zfl+
HCm3T9++kchKOPdu3iqQOo74L6WSP/uzEumfJRzKk8bR2+5xQ2FHVoLBx9sh
IGoczZSKFb47zkqYRrMvqYeMo6kUzxYfVVbC37VxfeH6OEpZkGe5JcZKmF/9
bVzkMY4YTR7mYhZWopCz+VeSwzgS0BixPU6jEPFpM8jv3Dhq3Ot1XaaJQrx/
IRB/1XgcGRR5uRkChRhxkX/hf3gcXbyqmF3+mkJIucpppmiOI9Xywa9pDymE
Cifp8D/ljfUz6qZ3+lGIla/ZSWpy46jprnVN4EUKYVYrwZkjMY7eLKeXPzhN
IcR/6d8+KTSO5FTmjTZpUQhlBqFyPq5xZPzlUTWLPIVwHQj5tcY8jqTIf7Gv
EIXI6Ao2EVqmoacfm+PcmCkEmJENLado6Kfayo/hCTLxMJfxbv0IDYVvv/16
spNMrDg4d9/uoaHF9ZSq+3/JRHPF7n22rTS06cTrF1BAJphM9G38a2moIrE5
Kvo9mTBzSj3QVE5D8rZXOZiSycRnV/UXHkU0tFu1IELsAZmYqFy6dDSfhuoS
F/z7A8jE+FSHr8sXGiJ/495pdZVM1JVUJNVk0ZCdk9+mIEcyISTz5LrfKxpy
3mwddsSCTHi6CYDLSxpK1WsYfmdEJtLXyTwJT2koxnYtPE2HTLgd1OJZTqCh
HwPL/+1QJxORt+86PIqhoTQD6j8lRTJRvOP9J5dIGmpYHdfK20YmqhNuPXO9
S0N/b8uofd6yEX9HYfmTIBoS1H4jJs5PJuwOHu2c9qMh5fwX+jR2MuGs1H3b
6zoNvbaXZRVjJhOE42ljIW8aWs22/PFymUS8VXebb/GkoS8idjnXZkiEHdvS
5m+uNHRG4OzhOBqJUNj/2yL74kZ+wuaV9EESUSKeZv3TnoYuPA57cqebRIxu
NavstKGhRh4WyrE2EnH+UbbBJksaOjJDvajeQCLah2/5HDWnIc0ftvxHqkjE
ds/QpfsmNLSvNcjmym8SsXzv8a1G4438f7mlvi8iEaKP7iRLGNGQ8Yq28lQB
idBb4CM5H6Wh6zRJR408EqHCxmv2Tp+GCnjlYv0/kYj3cobqg9o09LzrBueX
dyTi0rcoI0EtGiJG2g43Z5CIfIpU/T4NGtqx54vQwIuN+OqH7A3209C1v4Ju
HY9JRIxV4p5jyjR0sptbrSCORMjc73bRUtzY75CciyFRJKKtuVp3mzwNSTVw
jSuFkYhCk8305e0b+dP2/igOJBEdQh7JpVI09HFMsUDjJolQVQ4NDBKnIcUx
gf54LxJR94P3zx4RGmJgnZGqdduYT8mvdzUCG+tj3eE47kgiFu3Pmznw0JAs
e+eLMWsSEfc+cG2Ug4ZgBxv+ZUYi4nPG6hwoNLSn3j03yJhEMEYYk+uYNvLd
Kea1+SiJGDhs/0d5jYp26m0bjNAmEdqrzcZhi1Q0pZ243nyAREgW2lVUz1CR
uFbwx7W9JOJBZp4r5wQV/TFZGFiV27ALI+wPjVGRWCprXIMUidglG9NvN0hF
qjrFmUEiJMJ1+Jakfw8VqZxS52XhJRFmYkxH73dQkeaYb9E5VhIx29gUHdNM
RZcVHr69s85CGMt9kI2oo6IJpaTvgXMshLu8Jrrxl4q6BJK6jGgshDlNlcP6
NxXxMO+PG+5jIdrXoHhf8cb4ts6Oum0sxGxVHUz+R0XGabnuJ2pYCKfDTVaB
36ho8dCb4sVSFmLSSGWlOoeKLmT8vr0vn4Uwqzq9WPWeiuqNknMnP7IQltnJ
n10zqSj53cfgreksBHT43Yt/QUVsKuFL75JYCD1Ni1a1R1TkaP5xX0QEC5GV
95RRL2YjfnSW4Rs/FqJALevCqzAqEjjBYbLozkKoZMyZGN+mIgbKKadL1ixE
/XC35m5vKuLcQ3lCNWIhLow1XFNwoaJAjVzyZU0W4lnCQVtNKyp6mzxY3C/H
Qhyt8T9naExFjZWSIxpCLITcHZZCAx0qMtKkRdkxshBrj9WnJVSo6PyFhnLD
MWYibCn4ZJE0FZ3Osv4yWM9MRD04rirOS0U+SQKOMvnMRIXW2vrWtTEkFHd7
ejKFmWCbYeDNHRlDtwW2++qEMhPMSf+V1tSPoZXoGArJmZkI4Un2syoYQ803
jhbIHWUmdI6yxh9LG0MXDre8T9nJTLDLO1+6Gz6GWlxKJyzIzETi0+3W665j
6I/beRGjXibivAXH5FujMeS0k/Y8uoCJuOLiqvx09xgSjYj20kpgIl6mL5qM
cIyhkwFm9665MRGf+1wiPwyPIo9ZizoTHSbi8ronK0vJKOppfUfMCTERyTWw
xvR8FPGL2pX5jjISZCWulyXXRpF7WqzpXAEj4T7HIW13YhSZ25/sfvCAkUhZ
8fwys20UIYNsc2sbRsJuCy0iYWkE3dcszw7aw0jc3qXWYlU9gl4rfWwTXGcg
fpCYqp3SRtA6j+9vtSoGoiuYMbX82gha/LPPjSWZgci7NRLy4ugIYjjO8O2R
KwNBKnd/xSg2gvyDxpJ5NRiIBF0dxDY+jDrMOXnuszIQu0tEb1fDMOIKoDMc
+7COEmXeJbrHDqM/+qFFU4brKEnjVf6K3TAq6WY+enx0Dc31FEkkqg6jGvmE
6zH31lDA1KfZ0+RhVLhmt29Rbg3N6+28fLxlCLmpJdnjilW0M6e18OnbIZT2
8fyQhOcqauW7KX7Ofwhp6LSlnxJYRbXov68pxkNopVwzMDp/BTXwmv0Xvm0I
/fzGlktyXEHur+bLty8OIo6OA/1veFaQ4H5i1btqEJ15JM3o8HMZzatXtbun
D6Itp0WYxTyWkcEuNEq5NYja3b26v0sso/3hSlkapwcRr/Hd6O31S2j5D3qz
KjeIDlq9IhuEL6EiD3b7I0yDqG5xlyYZbdjju2342geQWYSLrOH8ItpdZiB9
5ssA0vb6mr+avYiULs8qMT0YQDwijlMkt0VEcW7gFnYeQET3X2y4cxG17wzW
vaczgAx364vnDSygnt3PjI3FB1COg+TanvQFdHIK8u0X+tH46BeL5/YLyHQy
gi2/vh/d2mYuOyqzgKQzn/w0+tiPWnxszi33zyNq5H0b/sh+dFtXkvo9cx71
ia9dZr644T9Jr+Vymd/grvu+grr9KHVAhqlr1/wGdzTNExL9SCCE10uQPofa
3vte81/uQ8WKm7Y8zplDwbDpelFzH1Iw8pw4dW0OmQ6qB1G+9KEKnYiRHRpz
KORZnJBeTB8S8f6ywrQ2i7SsCgo83fpQnL6uZEXhLPqeZrwQdKQPDeq2O3iE
zqIrDywXvLf1IYtnVnrTR2bR2u/MBCOGPuSYvnTaiXMW6aY6nOHv6EVBn3q3
NVTPICmXii9/83qRhMjhE0fjZtANN55Dd+J60Q8lU/u6szNIednZU8uzF5UZ
EQu3RGeQvAN7NbNhL8ovVXt5unMa6c7JdbXL9iLucdcpu9RpZMuwKl3F1IvU
xLgCvztNI8fab+K9nT3ofYZhp92uaaT87eFpifwe1Ndl9tJ1Ygq9Y8Z6UUk9
6LSknVX31yn0gemar4p3D7pS8CTz760ptI1l1F3kVA/KZVPmJXSm0MjZU+8O
K/agR1bme/XYplDf0Z6cIo4eFMWl9XSwZhJN7qqmJIx0I3ZP/j6Vx5NowdB4
d+mvbhTWzJqsbjeJWhceZ57L7EZ+z05YMSpMomtBPXOWod3oPL/gtydzE+iT
quXLeodulBJ7X5u3aAJ52CK5Mr1u9NNtIOrKgwkUdRbzam7vRgpLJ/f+Pj+B
Ju0EOjXJ3cg2egWk5CfQwtse6ZTqLvScWe2Z4IYOFV8StF6K60LXF+a38mzo
opIgZp8oiy5UtlLjtrqhM2rqVK/ul+xCuT/i5R61j6P+DxTb30Od6GiH4OKT
oHEU2dx6XCi7E73m2BGAd44j201s2tPXO1Hr1BOb4hoamhGYPqKs04lYNfW0
rG/Q0OD7Wc9Mjk60P3b2p6E0DX1P8iiUbvyHop4FhR6uoCLBpPwjN5//QwKs
+fvYNv4rQW4avIEX/6FJf2+vE2JU9Lz1iCxF6R/a9Tqwt6Z4DM2/0Ivrne9A
NKUcWcNLY0ghKNJ+4GcHUi9q7/PlHkPFWrdSe+90oIPkmv94P48ipydXzmcd
7UBTmbbm9SajKM608vFmrg4UfcLezHdmBM3sHXGer2pHPK9eWX+LHUFck9sb
xKLbUfo5Rr5TCiMoxKR78LxROzLi1xVcKd64F8WvvQ9ja0f7byFOb/NhlL9J
X8mruA3ZapY/8RoZQm+H3/pP3mxDywyfHb5eG0LH3EkpjXvaEItXNdfM+iCS
tM5JneppRVmakwdG7wyiBj/u2C2xrWiYMnb/NGkQDUTcvCZzqBU5RySrrAUO
II9Sq9GxgRZ075VUwOaNe2GXmemXmMgWJHPi+dG+S/3o1CDbTk3FFrTZXcM9
pbUPCYtse7y5qhnpTIuVxOr1oY8Jx88buzajoGq3nYvvepExk0IRF7kZfZkw
9t7M04uUSK5St543oVz9iaC9V3pQsF5OZZFqE3L678quu9Ubden0Vpi7vBGl
HF45Zr6rG53mXTGNON+I7qS4+9SzdaGDYyfbrakNyOxhzJuFb//QpScnlnNv
NSCfDWWZ5tCBNpemsP3H1oASw4V7zLnakQ8v3eJpYj3yPSJs9PRzKyrY3ov8
pOtRrdVK57hZC9ryWpo7IqsOXcgUMGxeakKVWhZb6Gp1qGc9S7/lWSNijlH8
1lhYi3iOCIX4aDWgWW3DA86GtSjT8mmecncdaloym6ppqEEXtkQmxQXXos4L
q/s1rGvQgq1K8xbZGhSg+vvrs+pqdEasxPR54l9k+8TF3rOvCtktl0fZDfxB
lUhpq/bCXxQrJgCRB34juSvuUU6b/iKeg1qnpeJLUcXNq+aqspWoPzZynmOu
CP1d+oznUAVSNPvn/90Go7UGlcst5/+gZ4HX5ydT8zfqUfjd8o1yZEmy41ZJ
ykVB7iFfg5/8Rvavwi83PPuEkhOT66P/+4WmUpejh53foEB6xFH9vjL0/bsh
R/HNFygm6/L5Uo4yZHak4jLRE46Uyd5Gymql6KVWY+zNnTfgj+IP+w+OJSjm
2noTw+dHgC2de88nFaPMhzcay+wz4EZpGpdVZRG6ak7an6nzASyfx8o1sBSh
oC2BIldufoZaMbObfUQhsn0vc+BFQR4cvCailxWIkfBM+3E0lA/MeDnhVTig
yrCkHZ8XAXglzmROCf9EF25Ln/iwWAiXvUO0Az8WID7vkZ9VI8UwJt9Mjz+Z
jxLoSdVjlaVglPXogM/CdxRxMMMlN/UXODjxvXJ8+w2FpoZf67pUDiv4AX7r
mIe2eX7vEt5eAT07zDfdk89FjNQPD3hqK6Gd9H2z/uIX9MO+2+2mRxXkly5f
lKn7jHolS+3Jq9VgWHfpjvPXHCStdumD8s8aOJhoPGee9gk94Zh0ULtWC7HX
5xa2PMtGg7MiEn9k62Dqhe6OX1ofUfDW3NH9NXXg27mb8Z5FFqJlJTaWX60H
/dOqM5lh71B65X1a1aYGmEzp8j72+w3akeZCPExvAPbL3+afib5G0xZr7Taq
jSDraDD5yz8T3RURqwr52QhN2wWbZibSkTV7/LZjuk3w3uytqJFXGlo0UaOt
FTXBoZRolSXmVFQv1bxv/FAziGYYJWxPTUGej/U4Hb40Q5Zwm/Pk4+foaL/x
7feyLcA1Q2XXoDxD/+T/PuZPaIHr8gOLvhGP0fuECLeB9RbgIzdsXZNKQkpG
51g8LrYCU90fO4nKeDR2g8tzsaIVXFvbPiiGPUQWej4/6ne3wfWLgtTbp2LQ
QoPdzJGoNnj4QJhSdvo+OmLySj5jtA14w58XnBcNR6Wj/K6qh9sh51TvH4e5
EDSBbxTrpLRDKDMH66ZfAUh3/Y222GI7bLYy9a4p8EWoymea81QHeHyvXf32
wBPZnP0weOF1B3TnyyvNB9ggebxNzmG9Axj+/yE0Xxo2bLlw9h+8k371I9LP
BkhJF9zisv6B87fwQM+7nrDPPGmLBqkTZpVbezs++cKq3mH5GKtO2Ft8pSQ7
OwAk+A8+rs3thPuFkSOve0PA77quiwZvF5ycddH6uBQGQ/K7n5Ldu6BTvSVJ
Q+Y+7O4u3XP1TxdkpbkLRe2JAbZXtLgOgW4YoR188sD8IRxIEC+K1O8GKYvW
q2wP4iE+oTXVwbcbzuv+PuhYmwhrweH7Q99utLNHxrBtewwW6rH+HF3dMMue
zmkd9hTiY85dFxTsgY60BMM/K8mQ7GS4o/B4D1wVuTLTppMCZgl/IhTu9sAv
djJREvsS0ue10nwKe+Btw7GmhrFUuOzMfeXHWg9IZTKE4lPp8KEodWazVi+o
fxgWOViSAVo9NoofA3rh/ZYSuwXdV8D0Imvr0+JeUBY32f2+9jWMNk2VLrH1
QVuPhQG7x1sYtE/cRj3dB58eJd4uE3kPTZLrGlHP++Dy5YqU+MYseDwcx7ZC
7YNfSd9v7Uz9CKqJ+TFntfpBRCJ2XBRnQ1ebVPOHh/2g8m+QKvDtE/xXGLoy
ONIP4iHGp959y4ETCmOyjboD0CFV0mxf+BmEV0z9TqYMwM0/apoltV/gKd8f
aYX1AViNeqlxeuQrXDhlSGhfGARX//kHcZQ8GHz8b8mheBCq3+yZ5VL4Bp/+
3rnuvnMIdm0j5AzOfgf9Kr0upeghiFrdOlQS+gO2+UuZhs4PwcLholHOH/lQ
m7+VQdt2GK7ySk6kTxVAoytB1qgcBoqH4me+PT8hyyMi6rD6CIB7H73dA6A7
g6FAM2MEqmJE9xabY6BPZeZN8Y2C6V/OPsNlDBfUgjK1gkZhzrt47M/zQsgx
ifswRx8FtZgDcsy6ReCq0DM7YT0GT3ZcupE3VATcKR6pzFVjkKZr/OPt/WKQ
iUVtLIeo0EwdLH+xtwS295gV/3lHhW+75O5aNJVA8pX8kF2iNKhk5fv75GYp
bNrmob0aRoP4+8/8ZLeWwWKrl7TQLA0SoPgq4DLo9q45ftx2HE6/DY7aafcL
zJvCBn0qx8HOtOHtNqbf4Bwj5nllPx0U9rDmBqf8hh/zHJVaL+jgowXV2ofK
AVjltnoxT0AnfXy7e0s5RF7xWc/bPwFns+8Pcl/9A5XqLnJXXSbgAjUK7WOv
gJ22wfkZTyeglGfYejilAtRoWo1n/07AnoiYq6r7K+F1l1jivbUJCC31e73t
TyVQDj4R19kzCUZ7UhVLLP/CEuO+yDs2k2CsOqe8dfwviKq5rplET4Katkff
odtVIPDvR2Lez0kYKVp3V+SqBt+5l17ZtEkY357CsPykGgZDn3/RFZuCMNdU
h2b+GliJUrzhc2wKbrycvPnWogYceWu6j16fAsJV/dzK8xr4yMfIUZoxBRIB
Vx7X9dVAYDwSHqubAv+4pGrlnbXg+ZhtO16fgvfWGXHSbrWgsO3fmSMK0yCR
lOD36mMt6KqpF4eZT4PYtJ3Ur6laMG989DD4zjSQ5VhFwvbVASujf49m9jSo
0AOWqL51sFJgV/2jfRr4V0os177XQSnH71sMlBmgkuqa8HIdcE7Ik/mUZ2BX
8cv1A4fq4efORJYZyxko/z556vLtenBzMhh6HzYDZR8imt2hHv4JsiXo5szA
y/0L/ocYGoA5PWPmZ8cM8A2WKo8SDZDuP0TdTpmF+FMBfbeDGuAj92OHgL2z
0MGV7U8uaoCxsjs6dednwelj33gkUyMc5/Fx3353Fuh/MraJ6jZCgrlqZUD2
LFBngjgLQhohjzNKf7htFkSKmOP9ShrB7/FR7Eiag4my3NdOpCaodlWVWd8z
B3KPZNVDDzfBrQlh0/xzc3DoT+eevrAmuBz/U/Nl6BwMT17yjyxvgqslUzgv
ew5S0s5uusfRDN60279JHXMg5b27ZtCoGQi/3RoPKfMwOH8z+2NMM8C/3yv2
KvOQWfzn2Xh9M/y8vWU+yGYe/rm+Dv4g3AIKlXTu6ch50A19cXLpfAtUKvMo
/vw2D8bpByc7UlogXsJAfXRgHgqtWE1tB1vgyLq14G3+BeA+HOv8UKEV2rSk
3wdqL8DUpK3ILa9W2GR4vm/BcwH6Z0mmsvmt0B7T8JL2fAEyBlnZXjC3QWe8
XbhN1QKwm1pqDh5vA8eDTJL71xagufje+cbENvAO/PHutOIizHwKpB7saYO9
Fx56JFovQtBzJZ+RXe3wsinmXe+DRfBgvXcr61o7ULsKMjbDInR43Ag1K2wH
/uviKSL0RfhoPLk5j6MDiKff/5VtXQK+3d35T0074Jr+o5eMJ5ZgOHjfTMPz
Dui4ihXf+S2BRW23gfJQB1yROPA7/e0SHE6q1QxR/AeOBmyfqpuXoP3MvHmS
9z/IG1RT4GJZhvVQbWmt7/8gerHCT2vPMtS9f7HVYOUf0G9VDuhZLAMyYGwI
OtQJjJeIt4zBy+DSYPr7P79O+A2KXGffLMOh+vtBf753wqUbz0/JVC9DU1FC
qO9MJ1AfJv44Nr0M26UvnItX6AIv1q2RWYIrcORye+iEbRdQmg6Sd+9fAQWF
+ajz8V3wZ37O463JCtAbUhfSi7ugzOUsK+XKCtwZ+Wv4jN4FIjttBbdFrkDA
zOe7rJzdUK+4tbU3dcNfLtvWZWs38N+MT9z2bQVMT9ffaFHshrxKqesdf1bg
eib/e8ND3cBLCtDXb1+BQ+q2hyaPdgPxOz/r3cgKGMa+vU8y7Qb7/CEby7kV
MDjYuVBi3Q0JIXwc6Yyr0AKj3a4Xu2G11NC6mmMVXr/+mbbfsxu+7Uhj3SW4
CpYBR1Jsr3VDv9HO78xbV+Hp32v75Py7IeXf6NZM2VXYJK5eVB6yMb7f0rD1
nlU4P38zIyCiG05VOZXdVF8FucHdWmGx3RB8Azkd1lkFSS80Jva4G4qk4303
Ga3C0I7nHP4vu0HV0/uNhMUqyDxQX+vb4IhZ5om3ZU6rELhnVerB126Quyu0
y/jaKqQltDXmFXbD6JP5FtbwVVA6BteTq7vBfCjV/tCzVahreuxya4M7Enl2
3tT4vNFeak55MNkNZfmJFcf/rsLU89FsXnIPLEetkQtHV+Eb7VCpjngP2Cl4
tvdxrIHyQe00K7UeENZcmGfcuwbMvH1vnpv0AGH3hsP53Bq0LvCq6/j0wIju
w1K78DU44Vfw/s7jHjh2t6hBK38NhLfXOqVucIu7WXKQ0vQaHOWjvSih9YAX
W8MNdqV16P52ceWXeC/Y+bqyhF1ZhxMyBss+p3rBzM/Z+ULeOpAtY7c8Cu+F
7MWL114zMGBf9+Md80W9UHb+jNu9HQxYwO52gTVDHyzWXj+gZMyAjfR2H0wk
+qC6/BzjzZsMOHarTfPFkD6oz741pJvJgM8ui/Ak/+6DBzNW3K71DJhjwN5h
nbsf7jHdeVbJyIilBnXOmFv0w/Ejl3P09zJiVrb/zl9J74cLKhnen20Zsap5
ywr/ZD+c2JtBnn7IiPk7n3xlQwPw4uNUZE8JIxbNYCeJPRiAf1t4dlrOM+Lc
vN2XBDoHILovYA3JM2FLSXaHAsVBQN4lypesmLDfSMaVfwGD4HvwwnBeDBMO
E6fwadcOws/MRh1yCRMeL1MpyZYegmSZV47K80xYamIvZc5rCFIkzLxF5Jlx
XBrlXFvJEBiyOj98ZMmMc8d+HNwhOAwKhpZ99x8w48W6U7syHYah3DQ3on5D
nVXZ172S/DwM2QkL745OMOPs1zpKFxhG4E2u/M4GCRYcu+mspcbxEcixcmm6
doIFN9/3kf2aOAKsHmcND/mxYE//vJe9XSMw/idui8obFnxMQ7mnYccopJkV
t9s3suAz4ivzyR6j4DR/V7KdgYT9AnctnvwyCjeiAm+n7yLhT/81za8sjILo
6qmIClMSHlIUoORpjsF9ueSW8wEkTFFcOhATMAbcc8xrF16TMLPgi7QnhWPQ
rb8zerCGhH8dEjEbZqICWnknubBAwnpMARcjdalwZUXJ4KUkGTsXDA4lhFDh
k5xFEs2AjLeVOY2JFFNB92JZxrAHGTvcEAyVY6KB4yNRyvMEMhZVYvvdRNDA
PGX+pEgBGSvrmf9SCaCBhd26gFMvGT/hFkk8/R8NPhbWj0azUrAB1dZAf5kG
cS+FnFIVKVhG9ei4+IFxODLgsuWNCQWLaQ8kj18bh02XPV98vEnB29yPu5R/
GYcd28vvFqZQ8E6+BHs8NQ41Q5udRssoeHNE44sBJToYPWWo20ej4H7FbXsN
PenQIy1t85GfFYecS5Jn/kCHol5lVRsNVixSoiUlSqODhu5+jGxZMaWSYqEr
NAH3d+uyHAlnxYxKK6tiG9zGEXmZ0fMjK26vm37Ad3YCJvQav71rYsWWi45P
xa5NQLhe+K7Z1Q17uDxHJXECeL1SzulsZ8Pv+xMdjHMnoPe7qkHEcTa8U0WP
cG2agL1MllPFXmw4efPRRr+5CTDat9tq8Akb7m4V++wvNAlXNCF8uJANQ/5+
F6f9kzDHIHetcJgNizFvCttzdhIE3IJknbnZMZ4ReVbrs2Ff7HpSv48dBzXW
quknTIJGu0XD0nl2rDT6fiT4yyS0fKI0NASx47e+0toh9ZMg27D+xPwVO/5e
9Oav1tQkXN1lIe9fyY738fzY+oFnClZT5EMOTLLj8fQ/xeWKUyC4NTLzjiAH
Lio9fTzi+BQsRcYmmB7gwDfyyg2GXaZgpt7kVJolB6b9zNTvuDsFh7vG2hwC
NmxJ20brtClASe4qsS858Fnpy3edYQq2DkyclyjmwFMUw+HJtinYk3PflNzP
gZOFXCKmZ6fgDTDz6LJwYnLYDPUSzzQ0K/7eNyrDiSNs+067yE9D78K8jZAu
JzZJ7aSz6E0Dt/CnHb22nDhTP3r+jNU03AvmlXUO5MRvDZ4nu12bhoeqajNF
zznxy/Qvgo7R02AhS+zi+o8Tfze/FXfm9TRInTrmYNvOiZUvPD12onAaBD54
qbctcmL1vP88XNumwXd/G/FwMxfmPBepUjg9DV59T4XS1bhwi15WpSPXDBh/
aDotb8aFe7wq3T13zMCBmNcPkC8XNu6LPTajPQOewXvs15K4sFN0ZiK71Qxs
vX3PJeg7Fz7p/Tn09/UZeODXoNHXvtH/ga2hXsIM9F9TvKy1zoUftFpsid/g
1EtOX1OzZDbhk6f15apqZsBAL8zV8OgmnD9T+Zp1YgYK2YrslS9vwpv/e/zX
gmcWmLJDtvk/2oQfvDKpaN7g1jNKo4cPF23CF7IzGx+ZzEJrCL/Da9om/K1e
XfLz9Q2uTRMX/CnKjdu4vnRqPp+FO/dkp18e5cbj5wr1jpfOgqji8SSPm9xY
I4/t7jxtFsp8znbsy+LGym15D402z0HuxJe0wR5u7O+8epzQmwO2KCJchZMH
sxZFnflxZQ6C94+mntjJg38dFtPPTJkDC2WHz2r6PDjlrCUer5kDGa2DFT12
PDj8FKPDbaZ58BFeWUZBPNgl6WcV2jcP3bdUzPRTePDecIMX4i7zsLTTY7wf
eHBVyElvpufzYN6hXs/bzbNR7/eoLfXzEHlGUhgYeLH2lreZkewLIH/8U0WX
FC+evmavTdJZgLKQ60wXdXmxkpXLeaWbC7CQx/TXwJEXj+72jJvPWQDjzA5N
nzBezHV0Z7g+dQHsOePse9/w4tBNR1pYZBeh5FXO6eBKXqzbGSQteWER2Pf/
3nKEzouVN98jBT9ZhDLvCzWyfHxYT4xXUrBxEaKlWIN59/Fhh2N/eUq4l2Bu
0VBn2YwPBzBduXbj2BLE5n+Tbr7Jh0PSP9IlQpdgRqZd9VEyH7aN0dySCkvw
eQJF7MV8mFW2Iml0cQlsu7xUE3v5sFXpJpZ+lWVIyGLW/87Cjy2rfqxdd1+G
+GcCjdGy/Nh16px7UuYy3FnZLSZ8hB8Ly3UYa3Qtg+ZLT4sTLvzYI5950kZ4
BRKsFytUI/hxwFRiAvnkCjixjuWUv+XHZ4XP31W4uwL3rjoYcVbwYxYvQY6a
ghVouhzatjzKj+NORLrSp1ZAptn9cRK7AOabDqKH71yFEzcOlXfKCeCHb352
PrFahZ27BN7UHBHAovnkIJmHqxCDea+7XRTA+LLEVqmyVbDgOuvzKVQAR/FX
rcYuroL1AEP38zQBHENtvuitsAa+YsrzKoUCG+eNKb3Meg1u3WVb8uwUwB6O
fEt3Y9bAYD5zx+llAXwx6e+nz4VrkKUjD63CgrhCZpHPcGoNwjU/r5NUBfHb
M+ccDaXXIeeb7c6mk4JY8HLuRM6pdWCINL1+1FUQCxTVrQQErsPxsA+KNncF
ce5D79rsD+twOeh+hNBLQbxpl22ubsc66BhxV3jkC2L+0Q83nrIw4Gc/z+65
2CiI744JO5eIMmCTN8Fza+OC2FnrxJ+nSgz4cE+OzT5WIawVploieZgBCzH7
F3BKCeFhXlMF0/MM+GOV0eu4A0L46a+WNP3LDLiqklLbfkoI09VjbjOGMmC5
u1H9cy5C+OqcIc+jxwz4ZkhhzFyQEM6J6Xi/+QMDvmV0N4T6WAhrP+J7/bCI
AY+6/bw0+kkI5yb/NBVsZsB+l47PMP4Rwo/3fmLLHmPAtCq+Kr1eIRzS/0P4
KgMjnpaeyShZEsLLh9/XXxJkxMb0Ork4fmH8fMQ09o08I/5aEEspUhDGs5bh
6YcIRtzLz0+zOyyMY/cK2O4/y4gj/Q+Eh10QxqSFctE0N0Z8JXjorvYtYdxP
3NweF8KIDd6tJ6YmCuMfz2YbBJ8y4spAB6eCHGEs9ozTX+MzI/4SuZCaUi2M
E6qjr/BUMuJCk+dLF2jCGP86SX41wIjTHdS3cHNuxtsExaO5GJiwmN6bnIJd
m7HZkd82Z7Yw4Z5b9R63jm/GQ5NSlWFqTPhT/ONVS4/N+FLq0o4fJkxYR7iT
0yt2M3Yflf61eJUJH7sfcqz662YceM511fQhEw73c3MIad+M94ekb+3MYcIr
c79+PmUSwaYZWdPPGphwrMx8IvcuEWxflCISucGNydmvumtMRPDu+5mpz7Yw
Y4PjYdG1ASL44pehlFKCGfen6yYxvxfBvdT7sktOzPipc8SYeasIPjH0U19x
gyNBny2wmCKKb5tm8pzNZca3R92P7FMTxVIjro8du5ixLMlJPeWiKOYwUZ8y
ZmPBPbovdOceiWKqgepuTlUWzGL6y0quQhQnXgu3jLRhwbmDkTd3rYni77FW
D4siWbDRqydR43u34B2GHd0Z31jwhN7LCAenLTjOZPc5uUEWPOVu5BjwdAuu
tLnBoy1AwgE1x3n31m7BIVtHBHt0SHhY1CjYlSKGo3Qy/FavkLDJ8vI7SS0x
nOjfdDbiJQlvkaQE6/iIYe+gjNxbtSRsrya2UPReDDeua3woZSTjQPowY3z/
hv9bOGmpTMZP50TjXomJ42Mqllkq9mRMXrZ5QTcRxz2GB1pRPBnT3jqKWkeJ
Y8bMgAHvUjJO+9I6318qjv2nzfrL5sj4dJnLrmtr4ph1cHRIbicFU+5q+zKp
bcWnux80xFhQcPL1O80+nlvxDdZTzSMRFNwn2iCU/2orfrPPjS5VQMFuI7Xr
BV1bcZfWFjHZDS5ktJWwchKWwDrLjyz7xFnxoTWrxZcnJHC9tmT24ROsePjQ
nhfnQiVw/siY4KHbrPjRM1WRW/kSeLZ8f9TnLFYsmsStPD4hgbO/HxRM6tjg
xEalc9V8krgvel9WAzsb5pBz+pqvIIl/yNiYWKiz4eXQhei9hyXxvuPTbHyO
bFj1rfpJWRtJ7Net8Hcshg0zmviaR/tK4vt5h5Pr89lwqTaJ1y5aEse8vnUj
d4AN1+1V6YzLlMRhEWTboE3sOKT31HbR/yRxnKr0Gan97FiRL8dwtE4S5/uz
nQyx3OC+gPTcxSFJLH1o/kz8Bve1Dt2oOLQiiSuPytpqZ7DjCPYQ+jtuKdx6
s9bH9xc7jsvgCT8gLYWNX6nEygyz47O+XkvtKlLYLDMsR5nCgaW0Vt6F60nh
8ROsrbHbOLDJt2XGfSZSWO36BLMiwYH10otsm+ykMLF4U3nGggP/D4zaWsU=

         "]]}}, {{}, {}, 
       {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVV3VYFV8TJu6lW7pRRCUU+dECswZdUoICIi1gkqJICSJpISGKWIhiIlig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         "]]}}, {
       StyleBox[{
         StyleBox[InsetBox[Cell[TextData[{
            "\[CapitalDelta]",
            Cell[BoxData[
             FormBox[
              SubscriptBox["", "1"], TraditionalForm]]],
            "/",
            Cell[BoxData[
             FormBox[
              SubscriptBox["E", "F"], TraditionalForm]]]
           }],
            GeneratedCell->False,
            CellAutoOverwrite->False,
            CellBaseline->Baseline,
            TextAlignment->Left], {-6.494505374740204, 0.6826172117808642}, {
           Left, Baseline}, {1.0010772349993078`, 0.13227392163938428`}, {{1.,
            0.}, {0., 1.}},
           Alignment->{Left, Top}],
          StripOnInput->False,
          FontSize->23,
          FontWeight->Bold], 
         StyleBox[InsetBox[Cell[TextData[{
            "\[Mu]/",
            Cell[BoxData[
             FormBox[
              SubscriptBox["E", "F"], TraditionalForm]]]
           }],
            GeneratedCell->False,
            CellAutoOverwrite->False,
            CellBaseline->Baseline,
            TextAlignment->
             Left], {-4.638712908957373, -1.2425096511206248`}, {
           Left, Baseline}, {1.0821347646231108`, 0.3703094928663156}, {{1., 
           0.}, {0., 1.}},
           Alignment->{Left, Top}],
          StripOnInput->False,
          FontSize->23,
          FontWeight->Bold], {
          StyleBox[InsetBox[Cell["BEC",
             GeneratedCell->False,
             CellAutoOverwrite->False,
             CellBaseline->Baseline,
             
             TextAlignment->
              Left], {-6.961767534815385, -0.5846458956560583}, {
            Left, Baseline}, {1.0644156145889052`, 0.6815159257665458}, {{1., 
            0.}, {0., 1.}},
            Alignment->{Left, Top}],
           StripOnInput->False,
           FontSize->23,
           FontWeight->Bold], 
          StyleBox[InsetBox[Cell["BCS",
             GeneratedCell->False,
             CellAutoOverwrite->False,
             CellBaseline->Baseline,
             
             TextAlignment->
              Left], {2.7250817351282937`, -0.5753021479485341}, {
            Left, Baseline}, {0.8009235948336709, 0.19636760333833364`}, {{1.,
             0.}, {0., 1.}},
            Alignment->{Left, Top}],
           StripOnInput->False,
           FontSize->23,
           FontWeight->Bold]}, 
         StyleBox[InsetBox[
           
           SubscriptBox["\[Beta]", 
            "o"], {-6.684959688896226, 0.3066277133070059}, {
           Left, Baseline}, {0.48624521069251186`, 0.21637377941673436`}, {{
           1., 0.}, {0., 1.}},
           Alignment->{Left, Top}],
          StripOnInput->False,
          FontSize->23,
          FontWeight->Bold]},
        StripOnInput->False,
        FontFamily->"Times",
        FontSize->10,
        FontWeight->"Plain",
        FontColor->GrayLevel[0],
        FontOpacity->1], 
       StyleBox[InsetBox[Cell[TextData[{
          "\[Delta]/",
          Cell[BoxData[
           FormBox[
            SubscriptBox["E", "0"], TraditionalForm]]]
         }],
          GeneratedCell->False,
          CellAutoOverwrite->False,
          CellBaseline->Baseline,
          TextAlignment->Left], {3.255437899720695, -0.15679388088001311`}, {
         Left, Baseline}, {0.756504490001421, 0.14267262544028378`}, {{1., 
         0.}, {0., 1.}},
         Alignment->{Left, Top}],
        StripOnInput->False,
        FontFamily->"Times",
        FontSize->23,
        FontWeight->Bold,
        FontColor->GrayLevel[0],
        FontOpacity->1]}},
     AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
     Axes->True,
     AxesOrigin->{0, 0},
     ImagePadding->{{0.1, 1.1}, {1.1, 0.1}},
     ImageSize->{816., Automatic},
     LabelStyle->Directive[Bold, Larger],
     PlotRange->{{-8.25, 4.25}, {-1.554167, 1.154167}},
     PlotRangeClipping->True,
     PlotRangePadding->Automatic]}], ";"}], "\[IndentingNewLine]"}]], "Input",\

 CellChangeTimes->{{3.531515559117695*^9, 3.531515645649438*^9}, {
  3.53151568263445*^9, 3.531515702849668*^9}}],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.531037954845355*^9, 3.5310379731553087`*^9}, {
   3.531038051037457*^9, 3.5310380619328823`*^9}, {3.531048108728828*^9, 
   3.53104814778452*^9}, {3.5315107388226337`*^9, 3.531510740973606*^9}, {
   3.531510777160782*^9, 3.531510825281885*^9}, {3.53151088941516*^9, 
   3.5315109293913116`*^9}, {3.531511023475627*^9, 3.53151102621686*^9}, 
   3.531513869199988*^9}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Show", "[", 
  RowBox[{"dtPlotSt3", ",", "muPlotSt3", ",", "wPlot3", ",", "symbol", ",", 
   RowBox[{"AxesOrigin", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{"0", ",", "0"}], "}"}]}], ",", 
   RowBox[{"LabelStyle", "\[Rule]", 
    RowBox[{"Directive", "[", 
     RowBox[{"Bold", ",", "Larger"}], "]"}]}], ",", " ", 
   RowBox[{"PlotRange", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"{", 
       RowBox[{
        RowBox[{"-", "8"}], ",", "4"}], "}"}], ",", 
      RowBox[{"{", 
       RowBox[{
        RowBox[{"-", "1.5"}], ",", "1.1"}], "}"}]}], "}"}]}]}], 
  "]"}]], "Input"],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwBIQLe/SFib1JlAgAAACEAAAACAAAAXNABKla6FECmUq06jel9PzMJtIm1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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwtl3c81t/7x29ubntv2StkZUQZ521FipSKMj5WRsMopCRSIUQSlQqpJBkl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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVl3c8V98fx63Px94jq+ytbDLyvslIRVIIJQoVUlJKZSXzSwpFiYZKUSmr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      "]]}}, {
    StyleBox[{
      StyleBox[InsetBox[Cell[TextData[{
         "\[CapitalDelta]",
         Cell[BoxData[
          FormBox[
           SubscriptBox["", "1"], TraditionalForm]]],
         "/",
         Cell[BoxData[
          FormBox[
           SubscriptBox["E", "F"], TraditionalForm]]]
        }],
         GeneratedCell->False,
         CellAutoOverwrite->False,
         CellBaseline->Baseline,
         TextAlignment->Left], {-9.043975650665072, 0.9052428092918636}, {
        Left, Baseline}, {1.3663644828034043`, 0.1673821106703771}, {{1., 
        0.}, {0., 1.}},
        Alignment->{Left, Top}],
       StripOnInput->False,
       FontSize->23,
       FontWeight->Bold], 
      StyleBox[InsetBox[Cell[TextData[{
         "\[Mu]/",
         Cell[BoxData[
          FormBox[
           SubscriptBox["E", "F"], TraditionalForm]]]
        }],
         GeneratedCell->False,
         CellAutoOverwrite->False,
         CellBaseline->Baseline,
         TextAlignment->Left], {-7.0973100784798335`, -1.585297583522626}, {
        Left, Baseline}, {1.476999432505188, 0.4685971637419535}, {{1., 0.}, {
        0., 1.}},
        Alignment->{Left, Top}],
       StripOnInput->False,
       FontSize->23,
       FontWeight->Bold], {
       StyleBox[InsetBox[Cell["BEC",
          GeneratedCell->False,
          CellAutoOverwrite->False,
          CellBaseline->Baseline,
          TextAlignment->Left], {-9.681739049295519, -0.725600554184475}, {
         Left, Baseline}, {1.452814667907859, 0.8624041133465218}, {{1., 
         0.}, {0., 1.}},
         Alignment->{Left, Top}],
        StripOnInput->False,
        FontSize->23,
        FontWeight->Bold], 
       StyleBox[InsetBox[Cell["BCS",
          GeneratedCell->False,
          CellAutoOverwrite->False,
          CellBaseline->Baseline,
          TextAlignment->Left], {3.742283596670202, -0.6786744264087616}, {
         Left, Baseline}, {1.0931759460304868`, 0.24848755904933556`}, {{1., 
         0.}, {0., 1.}},
         Alignment->{Left, Top}],
        StripOnInput->False,
        FontSize->23,
        FontWeight->Bold]}, 
      StyleBox[InsetBox[
        SubscriptBox["\[Beta]", 
         "o"], {-9.241108339582363, 0.3409837775874789}, {
        Left, Baseline}, {0.6636732537664448, 0.27380378115073617`}, {{1., 
        0.}, {0., 1.}},
        Alignment->{Left, Top}],
       StripOnInput->False,
       FontSize->23,
       FontWeight->Bold]},
     StripOnInput->False,
     FontFamily->"Times",
     FontSize->10,
     FontWeight->"Plain",
     FontColor->GrayLevel[0],
     FontOpacity->1], 
    StyleBox[InsetBox[Cell[TextData[{
       "\[Delta]/",
       Cell[BoxData[
        FormBox[
         SubscriptBox["E", "0"], TraditionalForm]]]
      }],
       GeneratedCell->False,
       CellAutoOverwrite->False,
       CellBaseline->Baseline,
       TextAlignment->Left], {4.305908014416437, -0.2016824339397707}, {
      Left, Baseline}, {1.476999432505188, 0.4685971637419535}, {{1., 0.}, {
      0., 1.}},
      Alignment->{Left, Top}],
     StripOnInput->False,
     FontFamily->"Times",
     FontSize->23,
     FontWeight->Bold,
     FontColor->GrayLevel[0],
     FontOpacity->1]}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesOrigin->{0, 0},
  LabelStyle->Directive[Bold, Larger],
  PlotRange->{{-8, 4}, {-1.5, 1.1}},
  PlotRangeClipping->True,
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02]}]], "Output",
 CellChangeTimes->{3.531514922202796*^9, 3.531515240808631*^9, 
  3.531515370202838*^9, 3.531515510571041*^9, 3.5315166626482687`*^9, 
  3.531525595215806*^9, 3.531540854943509*^9, 3.5317707757198277`*^9, 
  3.531772954316984*^9, 3.531773117849482*^9}]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"narrow001", "=", 
   GraphicsBox[{{{}, {}, 
      {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwV13c8ld8fAHD72nuFjHaUiEjr80QSQgkNSjLSIBGJjEJJpS0jmSVC30io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        "]]}}, {{}, {}, 
      {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVl3c4lt8bwL28NtkjW4NQMht8dR6VNIxSVChRpCGVUBqyRUkqGQ2EqOxZ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        "]]}}, {{}, {}, 
      {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVl3c8le8bx8mx956FkpCMREZcj0pSUUaKBsoqFSkUCWVFkoaob4WUFFpG
Zdy3EdnH5pjHnsfMHr/z++d5Xu/XfT3X53N97tezZC+4WzhtYmBgiKQf/n/u
v2dSsBHJT7QbBWVuXp2EO/07vXf78BNe/dSvgmuTcJgbwag9P0H6T2tYcH0S
WnaHN2mZ8BNpofsPiGxMQl4E18wONX7imJ3jSXaGKQg7Une8WpifWFQpvR9I
59KUM6lay3zEVVBIHKezQKvarxudfETR5vFEE8YpmOdr1nmG+AjOUzd8n9KZ
OZw8kJLAR5y5JS1dSud6z/c+BYF8RBmPRXAnnUdZKKlDdnzExZQrb5ro3Ht7
VkvDgI84WEt2+ETno4w+bV8l+YhAwZ6iU3R2ed/womeKl1BgXM1qo+vbGSfF
bErlJSy2h6oq0/mtpaPwkB0vsUMCG8fS5zPWlItLF+YlGCKbeZzoeQSeGn/k
VcFD2OQIvM5bmgTH7WXXzt/lIU7/2tv+bH4SxDhQWpg6DyH3me37wMwklHh0
5fP1cxOTHw5zpNAm4X6Jqqh4LDfRVvq7ijwyCX4e+buwMTfBt31rr23/JJC7
Y7y3L3ERv9sNNfS7JuGdf46z6ycugoG586N7yyQIZ2nf+HiGi+DOzd45WjsJ
D3BWB4mbizARy7f+WDYJLqLyAv8VcBJK2hFRmQWTYM4gavbQg5O4rNU3IJU1
CSOFwpWzWzmJXypRXpOfJqE96UvxVBMH0bbP1EI3ge535Lpn4gMOwufOcAzn
80k43jnCL2fAQZixyx25/mASpEuSO2Jn2QmRjZLHt/0noblflVvsEztx//Zj
v93XJ2FLqFjXHwd24vizozKfHCfhBW3sQYEEO6HmlvuMdmoShh33HpVpYiM6
xN/TuI9OQpZq+Fn2GDaCJ6/6gIjBJLx/7rb4woyN8L66nCqsPglnO6/ZjHKz
EfUmU1oScpMQYCr9e0stK9F65SbDbtFJ+KLMcdLyCSuhN3NUyo1jEp4V5jl+
OMVKZP3TS2hYo0GTRck2LWlWYv0Je9LtaRoI7siokhlhIcoHbu91G6DBXDDr
y+AsFqKO3cI7u40GMj/OlQYEsxBVEqduXqqhwd5F/Ydq1izEjT1mxk+KadD9
UlM+S4mFuOW5SoJfNMDUupqdm1iIuCn5Yv8vNPAXTMDfO5iJ0IonL85+oEFQ
+pU3534zE/d3y7gPvqaBHRtjmvArZmIuU/KpeCwNbvxwev7rLjNRMze+bfoR
DYQN3rEoODET689WDF3DafBmb9FnMGMmPLS/cPveo8El1Uq1bh1mQvyee4qs
Pw3ImaWGAzuYiUGhZFXbWzRQPpUfoSbGTJQ9zSzdcpMGre9zct5yMBNpiWxR
lz1ooKJWcJN/g0SEUFnfaV+lQXBI21XHfySCmBdXDL5MAx1NgeM+EySCfO8D
HHalQXKNR4nCEImQVRJmDXSm50Ndu32ql0TIR1e/lXeiActqoWRvF4mottqr
tNeRBt8z/pxM6SARrFt+l6ZdpMGdcP7GkHYSgaPyn9+jc75Yxv6zdJ44lJrz
g851tHem7PR6v/H+Y3r06/leriS4dZIIW9lWLyF6/6bU/GGHbhLhEz5qoUvX
90ufIVdQSUR5yX3SRxcanN7zjjmkn0Ro3eb8fPoSDSqrW3a70/1mHx5xNnaj
gQJ7PMl1lETsbg4+7U6ft8ZrUt6MPl9CiVFCpTsN4ldon9Yn6XoBg5mWnjSI
7G/VPDFDIgKfXnGeoucn17BUJzpHIuKs1dpDfWgwcOnNAyV6XgpbInRWb9PA
4qigyzk6Y6hP0bxDA5r4+5sh9Pp+PodjYndpoHcrIc+H3k926JHpgwAaFLBZ
mLDT9TZEM+uuBtJg5SrLdl66P84lhY1PdL52hMP2fB+JKO02Wt1O5wTi00wl
hUQUy16cLKb3E5rdvaRMJhHhQm3rl+h6xqRpH+tiEvGam8F8jb7/xSLqtzdn
koioC2pcF+n+WauB9VQSieh1LbIOvEaD2PJLyq1R9P3z5jmlS89vJmNlxsub
RHR2X9HwPk+DROn9TsxnSUT8iqaAuBV9/oIHUWcMSET3liJxtsM0WFOW9jbd
TCK0317yUNClwVee44pfF5kI1frgfXZK9PmYnb+dJjMRR7ivJMeI0SAj86uY
VDITIfHBpyaZRIP1fL9LtTeYiG0zGz3+tAnYUyKYYQxMBO3QuU2bmieg7dKf
KRsWJoJzeei0SO4EBIudHJn6u4kwKpDanvZ6ArytnZnNwjYRSbnsfAP+E8B8
Xcj+r+Em4rIPtYN2ZgIeZfkK5SwyEuPezWYLeyfA9Xqm/vU0RuIaSCoqC0zA
5HTHvOk5RsLAulcld3Qc/IN5zyRzMhIfifPb6gvHwdXbJaQyh4H4d7+w/M2L
ceATZoiRuMBAeLw3GDC7Mg5V6XNxwxwMhKMSmw4fMQ5jkoUe4k4bIBV3IpxP
cBxqmAuE8r6vQ/+NI7H+A2Mw+0PEymVjDVgPKMiH5IyBSCGjU/nRNaiNkFqx
ejAGrWVZ/o/jViGUbNMqcWYMNl281Hh5cAVuxwsEkXaNge4uy7csWiswdfn2
T9gYhX2FqUIC4cuwrwIbLteNwq9f7y7rdS5B4j7JHof3o3Dhm0+LmtYSeBjn
WiffHoWJ/WdjEp4uAs29wXXSbBR42cNrtOcX4JJebJvH9lHwe6P+J+X8Aqio
al2xXhuBgdfRn19Vz0MweaCvunkEWJJac4oOzMOv5BYm5u8j8NTogExl4T+Q
UDeIVowegbUzqoxah/+BiVls2blrI3Dkv0RecvMcBG4NHXp+fAS2zZcNal+d
g4M71lN+7x4BUxuyLB/nHCg10wozRUcgOGv4zL8vs4A/HqZdWR+GyGUDtfAz
s/BcbHWgcnAYBMUYdV25Z0Hj7ZLDb/IwdK+dFdL8MwMq2eqSsnnD8PVVoO2j
ezMg2PKsYvjjMBhQ41MEjWbA009QcTl2GIwLmmMduWagTerNpH7oMIRvdSqW
aZ2Glj3bW/7zHoaiNc+/QynTsLwvPm7DZRjSQMXQxm8aGjJGx81sh4HUWvJX
yGIaaEwcUTdM6f6yHZd/7ZyGjqwhdWvDYVip0Ls+zDoNSgY3n3VrDgM/862/
MDgFl0QSri4q0eutjF/ZlU7Bjp9nvB/IDINcakvwUMoUTP33wsVPZBjezljL
+ERMga3BweVsLvo8MrNsGVenYFzYYkiOaRgktlHadppPgfbrb0PpS0PwakRH
5fGeKagxtczUnRqC8YtEoq/oFOgm7mDJHByCN0x7/xOenQQ+funYTZ1DEDbW
NtGVOQlbC9SeCjQMQevykdkdNyfBw/kaqevvELjutsweUJsEA/cp5wsFQyD0
NJfgHqM/d/Vr977+MQSJm03/e5pEA++92+YiP9L16sn1V0/RwK2QJK78egj+
/uClPWanwRLxcJtfzBDwFNYvTP+k33eS9Y+9Q4YgZKV3KcRpAhayaJ2St4eA
w5F93ZB3Aua8lsNcrwyB7woPj2T2OCRibi5buyF4VpSnwWI7DsQKMTRhPgT6
v9tvLS6PgXRkWqzswSE40LdnaDBuDO42ub6Y0RyCQIOY8FKNMUiBR87ndwxB
QdUv54eVo9Chohl0QWwIyI98InfZ0+8LNm/HVTb6PCFPGd5Oj0Co+qUoxaVB
GPzWXNsUQGfeHbeHhgchXIiDqYxjBNJZ/yZrtA6CVcb8O5cnwwABjlGcZYOw
OdApL42+b4HtQl+vZA1CcYS0deSLIcgNmn5g9W4QGGsnfBeFhkCtRSAOPx6E
EtP4PSOPBkHBMOZUhv8gjLKOPbRgHoQxuRAjycuDQIm6ijRuDYBlZnoSi/Ug
nPnyrSZzqB++WDoVeBsOwpdK9klWq36gaKR/vqE8CHr7/1rZ5ffBr5BQf2bR
QbDzhD0T2/pAxXfm0B7GQbiZW1jYF9YLUvtnJNjGBqDrTqK61wgVHHnCuB40
DkC/sPrPhsNUGOD9roLyB2BhoOiB+oceCPG5+ez7hwHwOpZKwYw9IO9de8It
egBOm18tcMnpgg/7SrynfQZg8Yfvi9uunTC6Yiluaj8AkQHSqZKiHVDfH3A0
9PAANHsynP1eTIGDCiYy79UGwOFYkVjStTaQXPj66ZvYAIhUsh8+LtYKcO/n
2g+GAUhP97PYUtgMj5ftlTOH+wF9z0u4cakJaI8/m/wm94Ng/PVXP/gbwcA7
3rXmZz84SsPn/b/r4Vz7zv8WE/rBj1ShHXKxDrSmLy4QD/qhgyUnrZubDAnD
+6O+XO+H4YqT3VduVMO9mXKPY7b9sJj/rLG9pgIwLGdKH+iH6Ys3OZpU/oI2
Y9MVdeV+4NMzsJB99gcaXM58fiDcDwqPmDZ8Noqgp+tzmOpGH2RT5y4fuY4h
KtdGUX6kD6L4hPunGnLhfpRwnntDH6in3u4pbsgGx/5oN56CPri2m+1+de83
aDx++yIptQ9eJ15gfcX0Cbzs7tVaPusDQ8vKPawXE2Ai6Uz7ekAfBPJ/WfR7
Hgk9qVnfWa/0wSJPs+P0mxtogskwyOM0XX/UNMfB7AXKJzI89Yz6QChS9K34
j2Q0M5n+/fLuPpjS5mQVj01HqolTVxhk+qDNllx3ascPJN4vX73O3QduZ/w2
fbmag6wOM264rPbCyOLzcxavc9G9c2oqBmO90P9Idee9LISMfziG3qf0QlPu
ZxtEKUTGbWYauhW9oB3GI32wphjtsHtr7/i7Fxaayx5MZv5BEY0suqTPvVBw
ujvf4VEZEirXHJP8rxfGf53t1rUtRy5VHW/To3phNcVYQFKsEilcS7ufG9AL
zuQU36SyKrSqf7LI2LMX3vUE77vuWoNCKsPCrJx6QTl00G/Hci1y+TC33ne6
F7buvZyxu4CMjM8fs1o81gujHEGRvj51aKpIzfuJYS88kbgUJ6dYjxqT2ewy
tHqhKlVxa0BDPXoopFx1SLkXLq+We7V6N6BvW2d9rbf2gpK1ec9dwUbU1Z2l
0CrWC9+WSzNwaiPKOFv1pJS3F5p37VYZ12lCP1MfeUux9sIJjZefj5c0ofgW
q5jGdSp0mLHc1DFpRsPz3gkj81T694x/48LfZmQoZupgPUkFxRZWibYDLUjv
mGqM8DAVLlR+jtn5uwXdeOc1IUulwod+j3B95VYUpHJLw5tChd/O54+ee9mK
NtYeyXA3UsH6ud+ONlIbCtsq4EmtpoJuZu2lDbc29CPNZmCijAqbWS/YbSG3
Ian0/L27iqjQWKdzMlidguz2xMq/zKMCy+nzcQGPKYjPUs9dNYcKXp3NXucn
KKhanLl26BsVRt9/0nU/3I7U448yFaRRQepfjwZDUjuqozqXp6VQoYInKMNu
uR0dIX3pykiiwg+tJwvt5h1Ik/8OA3pNhbivkmeLP3YgFXH58ZY4KihhOUXH
jQ5UocxsN/eUCv7HToSwW3ei9VsGXrzRVMgo/7I2ndaJ+P7bWbo9ggqCx6cW
T5O6UMKJWeM9IVTgmyvovH22C5ma503tDaQCI/mvwOOsLvTzdHr2Lj8qmC3/
Xm/m7UYBshPRAt5UsIzYzxbh1o0I5yTPPg8qeL7giu3/2023Nmv12o0KwVIX
WfmFetBuM7Zd+s5U0D/waLzgYA9KcGaZRvZUeHa0Kz3euweFDQi92HqGChqF
qesFqT0oJMRW+MJJKjSpGj851tWDdBnXHfyOU2HbNm4peyEqOigof8PNhApk
eYvjosfo7L1koHqAChGlV7qjQ6iI0v8mt3gfFZge/QgYwlSUKK7fvV2Lnjeb
f5/eOhXtq11+a6FKhfEi6YJP+r3IBK/PHlKgAjaeKTIP6EUuKe51GzJUENt2
9L1ZcS/aCzdVfMWp8KInUAyx9yHr/RqMP/ipsMI5Wost+pCTWwOksNP7qXXe
vf6mDzF4+fVYMlJhS/vXVtp4H6oSt2jLWuwBzdjcx9YG/chR6K5MxWQP+LVR
PX4/6UdfiiYYogd7YFsFvF4d6UfZvBlibJ09MH8r4MTsgQFU8uCprW5DD/yc
P/LnZsIA2oU8fymV94Ci1TGtUxsDSMdARqGroAf4knZ1edgPIr3nHvE2mT2g
Oh238KJ4EAVZaDMkpfbACQvt/CSFIXSKdOx43pse0GjOuuQSPYS4dQJvpz/t
gYSo3L15C0No5m7qdd/wHrB5MOvg4zCMTjr+p6Tg3wNbKazb3KuGUbDPrhe5
13sAPU7Kuq09gqoOqX/Sce6B6fyrVlffj6AA+zvWKbb095qnoK6M4Cgasuh7
xH68BwyRfqJr0CiyStM95HSgB9oyY0ukpkaR6Iq1O9rbA1sc/3YJ2I0h32qu
NSnlHmjuvKMkWzOG6r6p9d6ToevtPt+7WX8cOWm94J8X6oGXN0QMuz+Powcj
Qnf92HtA59vxID2JCST4Y3WP2mo3nFv90ckWPoEuKZ74kTjQDQVOE483/5tA
2RbVZ0/WdoPC+vum4w409OjoZtGTv7rhdHPYoFcVDcWqjZR9etcNMc/PW17T
mkS9N3/B+Ufd0LzvDoPO20nkNfB0+drtbihV/yTozjSFyt+fs6M4dsPTE+kM
P7Sm0Om2lcbXJ7oh8hCj45VLU+jdO8ui7H3d4NRtZ/v21RTaqnDk0VbFbugY
vMdwonoKmUeUvO0S7oZkBbkb99anUMZEyrnhTd3g67FWo6s6jbK92lT0p7pA
NOKvmr/dNKIaGfhSOrvoX8uQZRo9jT4F5X7Ir+yCOw6St78WTKPoY1qS/b+6
ICdbJD51YhrxVjw1OPqxC55zjanrS82ghM2/fKZiu6BJxcLe/cgMKrocuasu
pAt2jjAbHrw1g6YaJ0tHb3bBcVY8hd7PoMSAyk+6jl2wbqX7cLB+Btk8YiIK
LLtg7LWKWt7GDHok5z/heaAL6tKtlw4qz6ICp80S1hpdcPnEFVLI6Vnk7FWu
7LStC9zMFa8FBs+iVW/nh68FuyD6jrGl3tdZxPSo7e0qUxdEvA4k/2qfRVOd
rDUBc50gGfhoEwPrHDKKaPaXG+gE7iklFoHdc+hGtpLIcFMnSEvvdp87O4cs
TQyXyko7gaGVPSM9bA51aWV7F+Z0wuOjup8Ofp9DNlr+bXUfO+Hlp6NHcccc
Etl4cGU+vhPGt5fe2sH6DzkcJvsqR3aCE01dIkj9H7pXfuD49Tud0LBHVLTx
zD9UrtO6p+hqJ3AqrVvvCP2H7pwI8pay64Tm9WuFQV//odGS3Xb+J+j++qf1
Ryn/0AWzHp1ew064x8Gb6cI8j3Yl+5sf1ugEjndmnIxq8+iZ//pUmlwn3OnS
3plvO48GYqwvcot0wtuJkytJIfPoStztWWfWTjBjVLn46+s88jl8Zjx7sQNs
jpgcYe2YR2Y2k3HLIx3wcEk17inrAtK/p3hQtb0DKuDyHieNBfTEd03boqoD
Wk0DWe7bLaD/ls4X2ed3wBOr5X+zkQvoVbbhztMZHVAabD9a8HMBDbvGF2i+
7YD9vHqVowMLqLTMpmw+ugP65AQC7wououAI78dxgR1wef7qVKDhIrru2uco
dr0DCjObmZbcF1Gd2LPoGw50vceNiRNvFtGoxZ0zKeYdMPazzs2uZhExj8wa
/TDsgHsWeFRzfRENi/U9f6veAcWBNx0sVJbQMb3YEm/ZDih3LhKIPb+Exj/a
HD3A3wG/dtw17H20hPx/337Hy9gB6YN+amJoCf3+u//Q4FQ7FJdGbxWfXEIX
lBnT63raQX4syrZ0yzLaZsBo3kFuh2HvI5KMZssozzr6M19hOyhFxad8urOM
BmoWNG9/awdR8+P7kz8tI9uN0EsySe3wcwBUaluWUT3xAPE9bQf9a5DBRVpB
pPEj36yC6XrcW5kNVFdQmo3Yz3mvdnAdyvU6aLOC7vfqmzK6tsOxLdT9jPdW
EHSzjt61bYeQJqcvJ1NX0OuPRay+pu1gqLZlfWvtCjJ/8Vt6jWiHGPOu60dm
V5AEad9nAc12SDzra5ouvIq+Gz/d9kexHSJvljYoa62iv7+5NklLt4NTXqzx
J6tVtCV7DikJt8O5U2iM5foqcnvyonmGsx0iXIWY5CJXkctHQxTE1A6cgpfJ
vUmrqPoEzFJXKCDk+yxW7ucqOtHfMbb5HwWIQ+UBHRWryPyjrK/uJAWY9pZY
GrWvovhnDDXbRylwLiap8PPIKoqJ2uH+d4ACFi+Dbp2dX0VpPgcHOHop0Bd7
d0cy4xoy28v8s6mLAgJV2f61nGto5KuoO38Hff2usdJO4TU0/FfxyYc2CljO
mXYwbVlDPy6OfPRvocDl60P7P8ivod9OJL2AJgrI66lz26muIacfCuSnDRR4
GHt41Fd7Dcmpk6be1VHg1d8jDw7tX0P2xQe3xtVSwFbkZDyP6RoKNYujna6m
QHFJcLm0zRpiyknrqKmgAFVs4W+p8xoiqKo3e8so8O1U+aET3mso/Vvtvjsl
FNAsFZthC19D37l0C4IxBW6kbvLV/28N5TdLBfbnUsD1UHKU7o81pDe3nSM4
mwJSvRIdx6rX0DMTpv6jXykQVnhfqHB0DWnnXngul0qBbMXVgT7OdfRk18z7
+QQKpNglbjCqryOuELvXn17Q/X58zOdqu44EP5xmUoyiAOXwUNmF8HUk4BVp
ZxtEgSOhRY0GuevocvN7nR03KWBk+jhAbXYdDbRxpgY4USBCidGbQ20DWe9b
ZvI8SYHnFiIbodc3UNPARTWhgxQYWiI72OdsoNACPaE76hQIUIr3/MjAgCMy
bj5Hmymws2qz64MdDJjhDePLOTYK7F2d36N2ggGzeTWxqs+2wYjV+9Xbvgy4
ULKvJKKjDbw8UnsPfGDAJ3w354j+of9HjtzncGtgwC23fEom0tpgm03WiypG
Ruy20Ve/9Vkb/LUtSDdSZ8R750/+rfJtA9NwaY8fDozY0ghHMDq0waifzabZ
J4x4sFGYoeVQG1Brx8OoJYyYP8qE56JyG1zdYit3doERz5w0e5XL3wYtjFtX
QGkTThEVjZqfbwVboT+ql89twpa/Y8sVO1pBe6p4IOfxJswnj7XcClshVfUt
wVKyCbMfCP1N/tAK01daLu5e2IRPL7XrejxsBZP9E57iSkx4m3rmazvPVlg2
cYiJO8uEA+sZyzNPt8KBLZm9Dx8x4Wd/cpJCoBXO2DhHNCAmHDzzl29YvhW+
PF/8bDLFhE8ZKixN87SCDs91hUZpEn6208gsc6EF7t8bb/Y2I2Ff96A9ytQW
4LTkPqZ/h4Rjz+Z2mFe2gFGPl5RGKgnf3l/nszm7BZIj/nZcbCLhbx6JWmGJ
LfD+e4psOwMzrtDiOBIW1QIFP7MCkncyY8v+kV5h3xawW3sWWXmSGXf93bJ7
p0sLrPYMtZ0JYMYLGmGuyKoFeEpObNh/ZMaqXow5FftbgJ3V8/EgmRmLdLiZ
Gam3gBsHTXZxkRmr/0y22yHTAokqLocTZViwhE2E5CXeFpBtDIibMGbBZ3lW
vm/aaAanM5QPw9dYcMiOJutxWjN0y4mzvXnOguXm5vdu6W4G9piuE+J5LLik
2CDscW0zHGeoFnbuZcGrAxFeergZNBpCx6LZWLH1p18aot+aYfvlDOckFVZs
b586I5nUDC+3D0qmWrHiT6e0+wyfNgOHM/ntF19WXNR9UCsouBkmInnDChNY
sdbhdKl6r2b4smDkPFrKiuN7jpcpuzRDDbtIveYEK/Za5HB5cLoZqFu32n0R
ZMNm3XnKPSbN8J5dZo+dLhvev11WdadeM7hKC2JwYMPbzrpKXVFuhv6dAqTD
4WzYyDoh/MPmZmib12B0/8KGNwaaWbt4mmHeOPrn52Y2/LlTXEWEoRn+Deru
/LfGhuN4faItppsg/pWp7f7t7FjKbBXF9jbB811dhyKOseMotxzLwYYmSHZk
mim+wY7362Z3HfzTBPfZGs8OvqSvP2T5l5XdBH09zuHDhey4bE+2kv7HJgjO
qvcqHGbHRswNgl3xTSBmpiLvysuBz5AvH/wvsgmcPB+/bNDkwHaukSf8/JtA
epS3cfkMB373dn/VXfcmWL1T3NAYxIEDD785+smhCXJmCl+eTuHAxzTTLjBa
NdHfB1uV/Ks4sK227/uwQ02Q8X75ns40B94kJ/KR0GmCC54XPgQLc+LnFVHr
qspN0EZ4PD+pw4mvrtP22Ug3QXWrrvm7s5y4I8Z4AQk0wQpjG8UxgBPrnnpf
6MLSBKLBDhoxiZyYIiOiZrXcCP3yY2ekizmxQGFKczitEXZ9f3iSpZ8T7+Jw
NWHva4SoKja+AyQuHMh0X6ylpRH2xddpjm7jwr1hr0vGqhrhtgSzvcgBLrwl
xbfCoKgRPC0Kd/Q6cGGG650fynIa4cwBOXnXQC5s9S+82T+9Edwmj84VveHC
QweI5tPvGqHltPVO7nwufP9K6dYT8XQOcnB0aOfC/+52aZ+JboT4K5HalCUu
zBp59Pn1EHo/yRniiRg3Dk8gZ0b4NcKRxz9EkvdyY8NaNaE31xshsXrCQukU
N16TV1V759IIT5sKHoEPN47IeRQSc64RLD4dvLj+ght/eywQY2/ZCAJmry8F
/eLGB4v8a1lNGoGveFC3r50bs599mn/XoBHucIKHwQY3rrkq0pqnQc9DsSQp
fRsPPsta8eqXQiP4SD9zO2rCg4O0r4dc2dwI1yarLu724MEc/LX81fyN8O7V
Qzn/OB5cnPAhv565EU7KTx86VMSDvRZ+M3stNcC3GDHHjxM8eFyu1vnzeAPM
dcsIF0jw4jntD+eudjfAUUGF2UQTXmx7gMnle10DiKsce3HNlxd3WaZuXC9u
oOdxskMznRcTr5wffshsgJbL398NUnnxm2pNAev3DfCxwiBcg4sPLyOpuw+e
N8Af9uEkMwU+fMpYNt8kpAG2fXH4sdeID+drm+S9vdkA0j7aldQLfFjl0kvX
ZxcbQGbL0goE8eGMdIkvahYN4GuvdsoogQ8faq+94080wJPly7R+xIf/laKC
+yoNUPZRs4G/hw//MZpyOCbVAP47NosiBn6co+xi2cPeAAIaGZXdsvy45oRS
4OGFeugL89rkcoAfC4ZBU1R/PZzo3agyduLH4clp8KuuHnLX2/Z5hfHj3Xd9
0hoK6uFu/OOLvan8WGzkPdvg53pgdP9qca+KH+v81jdciquHZL1SycOT/PhV
6cEDIqH1gHPPk+UFBPDhPrxidKMesj+z3OPXFMDEQM6pGPt6GCs7sn/llAB+
kKh6kNGsHnKqcra2+Apg+YldGW/06iHAm7In7rUAlnr9856nYj0kBUGEOhbA
10ObMkJE6X4+3dgT2yuAFe5GSFOZ6+F5OpPRL5Ig1rXpLIyaq4O1CqGmaHlB
3CbUXvykrw7YLVWkRA8L4gtm6aem6uugX9zDxuySID5eGTyVXFQHaHapck+E
IJY2f8L45Xsd/Mwc+17+SRBbvmdZ53pXByR1J1OuSkFsHyVgk/+0Dqr2hVJW
RgXx35rBkILgOtBLuxb/gkMIs6lmLvB414GfpUF5l6IQfnnjs2y6C70fi3Aq
+bAQXnVY835hUweiLwVuXXERwl8R5XLV0TqopFp7fQsRwrssbnocMaiD9W+M
PW/eCeHZruVlXvU6aO7avaBRKITv7HzrLylXByH7OJbdu4Sw8VqMm5toHex6
m7LDYkUI14uTtNc56mCDooTaRIVx/CF56/p1Mmwt+bHBvEcYS5go6gzOkKFM
5YJC83FhTB7Ut9IeIoPY5MlbJm7CWHvgmURZOxl02jJU7EKFcR273cZjMhls
Ch9GiCQKYxGJaq9nf8jwzo+38lquMA5t552u/U0Gww5rVZcmYfxG8HS/4Vcy
OOTcm1+nCWNKWHPR8HsyGFG/22myieC0tdyNoldkSJ6/k8clK4K3cboZ1sSQ
wT/H9ONTHREsHc69Qgonw8001rp2cxHMvHmj3v4uGRTPR/XPXxLBhOcr9/ab
ZDh0svDxfJAI1lIz8LnmRgZXidD74/Ei2HRj/2PBC2TQ0iq4PPpNBNPCmB1K
TpPhlPqxOcYKEezvSY32PU6vfyZQc7BXBF9w2V2seogMvMOz70uW6Xq8Vomd
+8gwl1mv+FRQFNfwJ5H9Ncjw434Ma5GyKN4qdmuBXYm+3iEwceGQKHarUM/z
kyGDvYlOeJi9KOaqU/pTJUKGJ+ZDoYZ+oti9seDnPBcZVO9uxCbFiuKlOyb6
s5vI0HHK0TnvuyjeMXhsxme6FgiXxaSEWlF8pODC9ucdtbC6582y/QRdryHS
Xr2sFr6baEvyconhh14BU/CtFlhVUr/n7RTDJvNzspkva+HN5YZrfsfEsNKH
d4ZB92tBKjx+7ew1MczQvP+/l261sIO3i+tGjBiObX5wd9aiFs6H3z9SmyWG
CxZVNQN0aiH8zhXH++1ieGfUOJe6dC0cXS4reLVJHJ9MS21iINVCmeJCLO9O
caz3UOrK4lANEL9SeshW4thXaZeafGUNLFuHRdcFiOOk4OKguPQa0P924AVT
mjg+GleGz0XXgJF3xNjpNnHMfFHWNNijBi5asQcWs0rgS70/QyXMa6B86eph
zb0SmEfIu1pFvQb+CjlrJ7hI4Hv/iKBavhpIsHx7YD5OAp8JZtzEOVUNLx3L
zilWSuDdBW+/TNZUw+K/SN+d6xL4eQLTaGR6NSxlvYyiqUtiWUVhflpkNfRZ
JEY4Okti55N5wXKXq2HB19Qp4JUkXt1KTdY/XA33O47xq9dJYs9otzpj+Woo
2W56z41VCtvHHbhsTqoGFubVzzIGUthGz7zWtbcK7imw3tvvJYXnvO7Y/4fp
bCC1WJQmhcuN0v2X31TBwX/DjM/6pfClj5WhMf5VILgi8TRFajN2foXa3c9W
gfa63dtJq83YUup6xzu9KhhPc5I4H7UZ1yj8HdaTrIJbWW0L/X/o9QVp9odW
KsGi9NJO7/XN+DmFJbmuvRIEQwx9Nu3dgtWGBg+O5lVCv3dwi5f7Fty1tv76
+ZtKuCLWKJKbsgW7JyvuawmsBNfBuo287i34s71h2veLlRB8Tvqcs6g0PvtT
xm+ncSU4Lp9bSjSTxpbqSZpGOysB6ai+tQ2RxufNE1yZ+Cphf9wecb9caWz8
5l/CpX8V8PIJ727alDRufX3Hza+9AvLr1WxrBWRwTxPvyX1FFVAu75yVqyyD
VaoejH5JrYCS+4vR6odkcCjLn59tMRXA8VH7uLydDM7n+O9Yvm8FTJv7nI72
kcGvzo/sPu9YAfXAzH8hWgaPhIUtIrMKYFDT6Hr6QQYHcpkrDepUQEuP+XaJ
fBks7SlzsnF7BaTzfT86Wi+D4w3IzI8EKoDin5y9NCSDcxZ0y0UYKiB78Hal
/qoMNt6mp+xJK4fn7PcnP/PKYnHjz7nvOsuBnMwXrrNVFk8NO5G+VJcD8r6x
3K4hi5MfGT19UVAOefqrn8MPyuLlfLl/9l/LQfLnCqOmlSwuWO3M5nlXDgeT
ixyaL8jiLPJRp+TYcvgfIjygOA==
        "]]}}, {
      StyleBox[{
        StyleBox[InsetBox[Cell[TextData[{
           "\[CapitalDelta]",
           Cell[BoxData[
            FormBox[
             SubscriptBox["", "1"], TraditionalForm]]],
           "/",
           Cell[BoxData[
            FormBox[
             SubscriptBox["E", "F"], TraditionalForm]]]
          }],
           GeneratedCell->False,
           CellAutoOverwrite->False,
           CellBaseline->Baseline,
           TextAlignment->Left], {-7.405746174898505, 0.8727340818075402}, {
          Left, Baseline}, {1.3663644828034043`, 0.1673821106703771}, {{1., 
          0.}, {0., 1.}},
          Alignment->{Left, Top}],
         StripOnInput->False,
         FontSize->23,
         FontWeight->Bold], 
        StyleBox[InsetBox[Cell[TextData[{
           "\[Mu]/",
           Cell[BoxData[
            FormBox[
             SubscriptBox["E", "F"], TraditionalForm]]]
          }],
           GeneratedCell->False,
           CellAutoOverwrite->False,
           CellBaseline->Baseline,
           
           TextAlignment->
            Left], {-4.3617759538507554`, -0.9893042463100068}, {
          Left, Baseline}, {1.476999432505188, 0.4685971637419535}, {{1., 
          0.}, {0., 1.}},
          Alignment->{Left, Top}],
         StripOnInput->False,
         FontSize->23,
         FontWeight->Bold], {
         StyleBox[InsetBox[Cell["BEC",
            GeneratedCell->False,
            CellAutoOverwrite->False,
            CellBaseline->Baseline,
            TextAlignment->Left], {-9.681739049295519, -0.725600554184475}, {
           Left, Baseline}, {1.452814667907859, 0.8624041133465218}, {{1., 
           0.}, {0., 1.}},
           Alignment->{Left, Top}],
          StripOnInput->False,
          FontSize->23,
          FontWeight->Bold], 
         StyleBox[InsetBox[Cell["BCS",
            GeneratedCell->False,
            CellAutoOverwrite->False,
            CellBaseline->Baseline,
            
            TextAlignment->
             Left], {3.2786337450381535`, -0.43485897027632636`}, {
           Left, Baseline}, {1.0931759460304868`, 0.24848755904933556`}, {{1.,
            0.}, {0., 1.}},
           Alignment->{Left, Top}],
          StripOnInput->False,
          FontSize->23,
          FontWeight->Bold]}, 
        StyleBox[InsetBox[
          
          SubscriptBox["\[Beta]", 
           "o"], {-9.241108339582363, 0.3409837775874789}, {
          Left, Baseline}, {0.6636732537664448, 0.27380378115073617`}, {{1., 
          0.}, {0., 1.}},
          Alignment->{Left, Top}],
         StripOnInput->False,
         FontSize->23,
         FontWeight->Bold]},
       StripOnInput->False,
       FontFamily->"Times",
       FontSize->10,
       FontWeight->"Plain",
       FontColor->GrayLevel[0],
       FontOpacity->1], 
      StyleBox[InsetBox[Cell[TextData[{
         "\[Delta]/",
         Cell[BoxData[
          FormBox[
           SubscriptBox["E", "0"], TraditionalForm]]]
        }],
         GeneratedCell->False,
         CellAutoOverwrite->False,
         CellBaseline->Baseline,
         TextAlignment->Left], {4.305908014416437, -0.2016824339397707}, {
        Left, Baseline}, {1.476999432505188, 0.4685971637419535}, {{1., 0.}, {
        0., 1.}},
        Alignment->{Left, Top}],
       StripOnInput->False,
       FontFamily->"Times",
       FontSize->23,
       FontWeight->Bold,
       FontColor->GrayLevel[0],
       FontOpacity->1]}, {{{
        StyleBox[InsetBox[Cell["BEC",
           GeneratedCell->False,
           CellAutoOverwrite->False,
           CellBaseline->Baseline,
           TextAlignment->Left], {-7.761811378672374, -0.5217669042129409}, {
          Left, Baseline}, {0.8346148657317958, 0.4289544135555269}, {{1., 
          0.}, {0., 1.}},
          Alignment->{Left, Top}],
         FontSize->23,
         FontWeight->Bold], 
        StyleBox[InsetBox[Cell["BCS",
           GeneratedCell->False,
           CellAutoOverwrite->False,
           CellBaseline->Baseline,
           TextAlignment->Left], {5.662211267293348, -0.5669488376428145}, {
          Left, Baseline}, {1.0931759460304868`, 0.24848755904933556`}, {{1., 
          0.}, {0., 1.}},
          Alignment->{Left, Top}],
         FontSize->23,
         FontWeight->Bold]}, 
       StyleBox[InsetBox[
         SubscriptBox["\[Beta]", 
          "o"], {-7.3366356640136186`, 0.29558385017919053`}, {
         Left, Baseline}, {0.6636732537664448, 0.27380378115073617`}, {{1., 
         0.}, {0., 1.}},
         Alignment->{Left, Top}],
        FontSize->23,
        FontWeight->Bold]}, 
      StyleBox[InsetBox[Cell[TextData[{
         "\[Delta]/",
         Cell[BoxData[
          FormBox[
           SubscriptBox["E", "0"], TraditionalForm]]]
        }],
         GeneratedCell->False,
         CellAutoOverwrite->False,
         CellBaseline->Baseline,
         TextAlignment->Left], {6.225835685039582, -0.08995684517382352}, {
        Left, Baseline}, {1.476999432505188, 0.4685971637419535}, {{1., 0.}, {
        0., 1.}},
        Alignment->{Left, Top}],
       FontSize->23,
       FontWeight->Bold]}, {{
       StyleBox[InsetBox[Cell[TextData[{
          "\[CapitalDelta]",
          Cell[BoxData[
           FormBox[
            SubscriptBox["", "1"], TraditionalForm]]],
          "/",
          Cell[BoxData[
           FormBox[
            SubscriptBox["E", "F"], TraditionalForm]]]
         }],
          GeneratedCell->False,
          CellAutoOverwrite->False,
          CellBaseline->Baseline,
          TextAlignment->Left], {-13.259681016639355`, 1.0440590042947488`}, {
         Left, Baseline}, {1.3663644828034043`, 0.1673821106703771}, {{1., 
         0.}, {0., 1.}},
         Alignment->{Left, Top}],
        FontSize->23,
        FontWeight->Bold], 
       StyleBox[InsetBox[Cell[TextData[{
          "\[Mu]/",
          Cell[BoxData[
           FormBox[
            SubscriptBox["E", "F"], TraditionalForm]]]
         }],
          GeneratedCell->False,
          CellAutoOverwrite->False,
          CellBaseline->Baseline,
          
          TextAlignment->
           Left], {-11.313015444454116`, -1.4464813885197407`}, {
         Left, Baseline}, {1.476999432505188, 0.4685971637419535}, {{1., 
         0.}, {0., 1.}},
         Alignment->{Left, Top}],
        FontSize->23,
        FontWeight->Bold], 
       StyleBox[InsetBox[Cell["BEC",
          GeneratedCell->False,
          CellAutoOverwrite->False,
          CellBaseline->Baseline,
          TextAlignment->Left], {-13.897444415269803`, -0.5867843591815898}, {
         Left, Baseline}, {1.452814667907859, 0.8624041133465218}, {{1., 
         0.}, {0., 1.}},
         Alignment->{Left, Top}],
        FontSize->23,
        FontWeight->Bold], 
       StyleBox[InsetBox[
         SubscriptBox["\[Beta]", 
          "o"], {-13.456813705556646`, 0.4797999725903641}, {
         Left, Baseline}, {0.6636732537664448, 0.27380378115073617`}, {{1., 
         0.}, {0., 1.}},
         Alignment->{Left, Top}],
        FontSize->23,
        FontWeight->Bold]}, 
      StyleBox[InsetBox[Cell[TextData[{
         "\[Delta]/",
         Cell[BoxData[
          FormBox[
           SubscriptBox["E", "0"], TraditionalForm]]]
        }],
         GeneratedCell->False,
         CellAutoOverwrite->False,
         CellBaseline->Baseline,
         TextAlignment->Left], {3.351206604920886, -0.20915551261634535`}, {
        Left, Baseline}, {1.476999432505188, 0.4685971637419535}, {{1., 0.}, {
        0., 1.}},
        Alignment->{Left, Top}],
       FontSize->23,
       FontWeight->Bold]}},
    AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
    Axes->True,
    AxesOrigin->{0, 0},
    ImagePadding->{{0.1, 1.1}, {1.1, 0.1}},
    ImageSize->{810., Automatic},
    LabelStyle->Directive[Bold, Larger],
    PlotRange->{{-8.25, 4.25}, {-1.554167, 1.154167}},
    PlotRangeClipping->True,
    PlotRangePadding->Automatic]}], ";"}]], "Input",
 CellChangeTimes->{{3.531511040675022*^9, 3.531511132232209*^9}, {
  3.5315114397230663`*^9, 3.5315114904203653`*^9}, {3.531511797630349*^9, 
  3.531511817536367*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwV13c8Ve8fAHAr18ome8vKqESKPieSrwYRUYqMpkiRPROyWsqeKUlpKDM6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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVl3c8198Xx32sj5lN2auMVLIq0n2TaJCWUkRoC5UiFbILlZBNZHw1CFlJ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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVl3c8lu8Xx+2H7L23rBRSknVuUlJSVkTfjKSBqIzIzAppkVGIlCSaVtZ9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      "]]}}, {{
     StyleBox[InsetBox[Cell[TextData[{
        "\[CapitalDelta]",
        Cell[BoxData[
         FormBox[
          SubscriptBox["", "1"], TraditionalForm]]],
        "/",
        Cell[BoxData[
         FormBox[
          SubscriptBox["E", "F"], TraditionalForm]]]
       }],
        GeneratedCell->False,
        CellAutoOverwrite->False,
        CellBaseline->Baseline,
        TextAlignment->Left], {-9.043975650665072, 0.9052428092918636}, {
       Left, Baseline}, {1.3663644828034043`, 0.1673821106703771}, {{1., 
       0.}, {0., 1.}},
       Alignment->{Left, Top}],
      FontSize->23,
      FontWeight->Bold], 
     StyleBox[InsetBox[Cell[TextData[{
        "\[Mu]/",
        Cell[BoxData[
         FormBox[
          SubscriptBox["E", "F"], TraditionalForm]]]
       }],
        GeneratedCell->False,
        CellAutoOverwrite->False,
        CellBaseline->Baseline,
        TextAlignment->Left], {-7.0973100784798335`, -1.585297583522626}, {
       Left, Baseline}, {1.476999432505188, 0.4685971637419535}, {{1., 0.}, {
       0., 1.}},
       Alignment->{Left, Top}],
      FontSize->23,
      FontWeight->Bold], {
      StyleBox[InsetBox[Cell["BEC",
         GeneratedCell->False,
         CellAutoOverwrite->False,
         CellBaseline->Baseline,
         TextAlignment->Left], {-9.681739049295519, -0.725600554184475}, {
        Left, Baseline}, {1.452814667907859, 0.8624041133465218}, {{1., 0.}, {
        0., 1.}},
        Alignment->{Left, Top}],
       FontSize->23,
       FontWeight->Bold], 
      StyleBox[InsetBox[Cell["BCS",
         GeneratedCell->False,
         CellAutoOverwrite->False,
         CellBaseline->Baseline,
         TextAlignment->Left], {3.742283596670202, -0.6786744264087616}, {
        Left, Baseline}, {1.0931759460304868`, 0.24848755904933556`}, {{1., 
        0.}, {0., 1.}},
        Alignment->{Left, Top}],
       FontSize->23,
       FontWeight->Bold]}, 
     StyleBox[InsetBox[
       SubscriptBox["\[Beta]", 
        "o"], {-9.241108339582363, 0.3409837775874789}, {
       Left, Baseline}, {0.6636732537664448, 0.27380378115073617`}, {{1., 
       0.}, {0., 1.}},
       Alignment->{Left, Top}],
      FontSize->23,
      FontWeight->Bold]}, 
    StyleBox[InsetBox[Cell[TextData[{
       "\[Delta]/",
       Cell[BoxData[
        FormBox[
         SubscriptBox["E", "0"], TraditionalForm]]]
      }],
       GeneratedCell->False,
       CellAutoOverwrite->False,
       CellBaseline->Baseline,
       TextAlignment->Left], {4.305908014416437, -0.2016824339397707}, {
      Left, Baseline}, {1.476999432505188, 0.4685971637419535}, {{1., 0.}, {
      0., 1.}},
      Alignment->{Left, Top}],
     FontSize->23,
     FontWeight->Bold]}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesOrigin->{0, 0},
  ImagePadding->{{0.1, 1.1}, {1.1, 0.1}},
  ImageSize->{810., Automatic},
  LabelStyle->Directive[Bold, Larger],
  PlotRange->{{-10.3125, 5.3125}, {-2.072917, 1.572917}},
  PlotRangeClipping->True,
  PlotRangePadding->Automatic]], "Input",
 CellChangeTimes->{{3.531508618121503*^9, 3.5315086407604847`*^9}, {
  3.531508678438263*^9, 3.531508679382666*^9}}],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwV13c8Ve8fAHAr18ome8vKqESKPieSrwYRUYqMpkiRPROyWsqeKUlpKDM6
T2ap7Ow97r3HCkmS8Tu/f+59vV/nOc/8PJ/PvbJOVy3PMTEwMMSSH///dp36
nr8nTAi7cyN+76uJFPi4oSXwwlkIW35+b5d8RSp0FwhfZjoghN1Y2Z7jkJ0G
m0v/ednKCWEvr1vle6WmQ9Hs6X+164LYUak+L8+CDJCQKK116BHE2Nmfa7m1
ZUIGe1QyViSIGWe13NTjyIZ7Yab7QqIFMexcO/fh8mw4aBYQtNNBEDM7bdbq
6ZMDAntSJG/sJNtz7HSoNH4MFjwyVDtWQezv4vWj6oq5YJYcl7nRJYAdfLyh
1Sz8BM5l2XH75gtgK0mNmQXiT2Fyln2t30cAW7KrU/usnQeaFoI7Dh4UwDi9
Rq5oOT+DuHt/vL4KCGCC53n/TD3Lh+M+WvG3hvkxeqmRAzNLAQw07zWMfsmP
2f68sifE9wUEuSTazfvwY3sfBEleZC2EqI3K7A5Dfsx764WM+levwMJ1W8+h
zfwYNTn+mYXeG9C67vjNtYsP48+ocw5XeQt+g937zXP4sKdOHd8DlYvgpj8P
42ZXPizu5Q6tap13kM57s7VSmw8rNzj5o8vqPci7Fvp7r/Ni7D2IYhheDOet
uGstPvNifvtH+SKqS2Dg0sbTcw94sYLh4qZG/jKIfGTZX3eaFzP8sMOu/Xo5
BD8sPR6hxIuVBza7sIxUQJVJ5bzbBA8W0sKUUmNXCYmM0x59gTzYgqPRU++R
KihtObPuK8SDZfVTdMM9cHDRvOZ55TU3NnpjLOhZOIK2pIjnfYe4Md+MgBZp
y09geGvFb5q2GftQQbk8IFcNk+6aH2sjN2Nu8kayAr+rYVNbuHmM0mbMSJ34
9quhBlqUbCjOjVzYvHqxUVFqLURMsuFeV7kwzQCn02FX6sDx4bL5hDAXVnD5
5UyCfj1kZkUk9CJOTNbSrEmCowG8I3mc/d04sWNRzD/MOhpAvuZ30qQEJzbk
ENV9OvUzjDQncVo0c2BJ2x+99rP7AnNbrZPab3FgEpZ0rW7hRgg3jBdMNuDA
1Lfo73zxtRF60rNO1/5lx8I6D8cr+n0FrTdT/wWXs2OfJ9qE/KW+QeVSS9FU
IDtWmxqX21fxDfDJV547DrBjEoe1Nwcd/Q7urBMuvjzsWNqRCJX7P74DZ22b
w9ggGza0uKf5kGUTSB0TkYotYsNKzF6fEK5pgths216zGDaM2F0qdVC5GaLO
+LzeOMeG2ZjUU87fbAYTTdsyd2M2rG3zsQXGtmZg+DjI46bMhgnzugy1cbYA
/e1sy1duNkyevTVvVqUFdr5zFT69TMGWP+RDqlEL8F/W+zc7TsHCFhRSxU+2
QHXw3lTrDgpW4B2SV3a5BTxTrLkd6ymYI/+CValvC5xycr0+WkHB7twteXQm
vAUKw86OFLylYFJlrCfnY1rI/Rfxji2gYP+sJe6W3W2Biy4+h62fUjDBnduV
/95vAX3fs4E9ORTMUjRE8P8+Fl4qT2RRsOw2OLBOtu9WP3vamvSUcuEzs7gW
YJfZt/8naWkqg6ZWVAtIMO2aiSLf39rh1UgPbYH9gcoBc7kUbLrS8PJHvxZ4
obO6aSWPgp25/GR96VoLJPck5N8g53Mur92n+1IL7NjcHqT9imy/h6M+37EF
yv0ysilFFGx8PqynkFy/bUOnGiqmYDseeT1Wt2yBw5lOezTLKVj9rDif++EW
iHMuFt5aScGeZilPFhm3gNHVyC/eHymY6dOtB3T3t4BNp2TsL5yCGXWIcGjv
a4GywpoEd0TOl5FJaVS/BSw5kHgF+TyKYSLC36AFeBnt7PKrKNifvFo+HawF
hvL6YzjJ/eX8klt8lOz/JW/8aPF7CnZib8TplSMtcOH4+1S/Qgrm3uY672XT
Ar/DU6eUn1CwYadTDksuLWBSGrU5MZmCGX86fr/0Bjl/ptrdCTEUTKP61PX5
6BaY8kt6uuBHes/1mf6cFhDaeSgu8jwF615LnymqaoH3hgqKsscoWPXIwJmX
A6Sr3PIf6lCw4ApdFSamVmApdzd7J0rB0k8X7plRbYW7plfNzf+yYsXp+4Py
bFvJ+106tucHK2Zr/qfvfGwrsAXfNfqvkBUTM23df6GmFVoPwzPTMFYszr4t
ZZihDW4x8ZjwWbBiJi5rTZwH2kCw9KDdNQlWrFvD+ptsfBtcCNaQ0B/bhHU/
6A+0628DDzfuaqOnm7A2l8Sv89vbQTpFI+KU0ybshF9EruSddnAl/jRfFtuE
rXjzPP4z1w7ND078wL+zYLOHFTW2nOqA1nSblcpAFsy+TMzx1+cOYOBhe1Kn
xILdCDSyYjb4AQNzXroGzczYWdtfMh+Lf8Cy6QvRKE9m7DBX8HDqjk4YkC17
zSrEjJ2x1X3J+64TeELz7aXfM2GNq9czEnW6QPpKdKy2BRP2rvzW99zKLrg3
cyHt+TQjdtgcWb8+0A3znBa/RiIZsYogP3Otpm740mSxjMkwYls3sXRk2PbA
EwMfHtVyBuzL03er7mM9wHm2KYPBkgFD0v2jYu69wBrwmfdY5wYY7WzNElnu
hX0fYi9SODbgajb1yFBoH9TeZdg8C+vgr+TBTKX0w2vK/s+Nvmtw5/an/ty4
fhDaccHFpXgVmsM1Fu5yDwBFKv5F2NI/8OzhOCMbPwApvd8uEPr/INu0QKeZ
MgiD3pizU/QK3Hx4Npk3eBBmGJkuvuv/C8b+YWmnfw5CV4walqv7FwQ+nD2p
ajcEJTJdxcupy8C3xXJqDg1BdptUgj9lGXY/syoW4B2GHSXv8Q9Bf2B8e/pj
bf1hGP9XkBKytgQR289lzLsMQ1bvi3TryCUwP9qh6RkzDK7Rjge+b1kCz23c
4yMvhwEDby7vt79B1lv3wPlvw7B150OPIcvfENfq1atMDAN7+rnp5H+LMDIx
qWXJPAI/3zz8t/3FItic+tjKIT4C/flfRfc4LsKWTgGTAK0RqKl4X41JLsJJ
Bl7xb0Yj8Exy5dqPwV9wKLSrS9F6BMLYDuZGPf0FEmt3KG9dRsC6yLCN6vEL
GKTstBOvj4CoZar/TewXbI05S18LHoFvUn+2TAr8gk/0mkLemBHwMGfeWji5
ABvDz7n/JIzAhtglGbvaBRAU033Ukz4CXmVtN8OzF0Br772vw09GoMV+8nNx
8ALcnOrZu+vlCHAbn3IPs1+AvW27PTaKRkDz8bfZG7AAdxNbFy6Uj4BK4VSd
nOwCFA59PpqEk/2nO17dwrwA9VZGnCV1I/Amv/v82Pg8cGScK57+OgLalH9K
wvXz8MLBqtO5bQTu/LyuAXnz0GukvWzUMwIPj4f83Lg1D30VUpavhkcghbeo
fr/TPIA9Q3MenZzfx+3sDPvm4d39ClbV+RG4uqTApSMyD11lGve1V0Ygy7xI
YWhuDqx097HWMI/CIyeG/KWGOWj1aFxr3TwKNxt2TflkzMHvz+957EVGIU3Y
z8j+2hyczx1sd5YfBXb63KanRnPw2VlldEhjFJg6aqJMBEm7ebc17RkF3wkt
/Zv1P2GT4jN9dZNRKC1T1Rdz/AlqM+llf46Pwh7L6vKjy7MwrKI3qOo4Cnaj
BxwE4mbh874zxjXu5PgpG52OErMQe3cyoipwFNjy4avm8xloDanWFY4dhUP7
LKmeO2Zgn2f9wpeUUWiMu9WmUDYNft+7zH7kj8KnGvk9enumYdtC15h22Si8
EghqeFY2BasH8k0nGkaB/nJA4cLOKYhTURUZ6xqFNvzBqlvBJEQxA02VPgq9
gcRykeQkPND5bFa+PAqmgpq12+IJsNr6jBrDPgZJJW/Y2pbp4KlTdTBdbAx2
P/zgkXKWDgmNU6yTamOgujHAfKuWBpkK4uc8DMaAr7VgX6UCDdw2zHRVzcdA
dNPSincYFbYs3v/L5zgGjxIT+IneCShLm1WS8xyDb6E2DibbJ+D83av7rCPG
gIILfai/NQ76F6XLnyaNwd0jjzfSfoyBBc4myF0wBskKrayr8mPwSV3n6+3K
MQg19C4Q9xiFx0eKTvE2k+1zztVqVozA5uKofVkjY7Ci76nhxjQCkgyfFjQX
yfnxelazmQ7DZP3FX5Ws47B32/X37hJDEPs4uhITHYe+hzuy7J4MgOQ2jcZi
tXE4dax5eb9qP5Ssnk0W3jcOIdZzXrGvesGjcFvumWPj0JFq0JCzvQccu9LO
RziNw2dhh9zZd12QJ1Buf9trHFbw1cq+XZ1g8+8OxTFyHBbjPja0lXZAjJLy
AHvyODh4HfEx2NMO9tvv2gU9H4fYK2YhEVWtQH3btF5cMQ77r1xJEDRsAQPD
ecNXX8dBqiO9Kf/edwgMYHxytn8cEst2nzmT0whVS+yZDdPjQPdc1RMrbQDh
o0KFA6vjUP+o1Sy3rRZi09R1M7km4Ls+273gxU+Ac9sdYpOYgAVrQeLAno9g
aPN0UFxtAugHblI5UssgXVFwultvAtwb1Vn12d+Bnerry/DfBOS0d7jG8L0A
buFgS/MT5HOzLQ1bd2YDpNxOY3OZgK06yrS08QgIcOk0cL02AXtyXodduXwL
N1e+ut0neAKQcINNLFcWfujRKfdtsRMw1Pb723rDc3zJLns6JmkCovrWji/N
vsUHt/335EHuBCSKPHsjNlaCJ5SdjDd6PQFBErl3QvAPeNbr/qyMigm4s52H
IX0/wu9Vd7dn101A7vvHsS8Sq/GFHGvZoy0TsMta7pfPYC1+bP1U6GMy7q5Z
PMFjRBpwvdtz9OzxCThE2+fvduALvntO8vh/sxPAac328rnjV3yQOlmS/GcC
HncLD36++h1/K+HA9YCBCopvQlOs3JtxQ8Obh7XZqdDM9Wqn66sWXIrt9JUQ
Pirce+5Ad81oxZukFs97ilLB7uhZzfnwNnxUx3InrywVxLfs/Y47tuMTDMFf
rJWpsNnMQ6BYpwNfu2BXfECTCqPdVlG8zD/wgv3QNrSLClb1O/aqNvzAGTNP
3VXVp4KhotX+U+GduET8oJ2yIRXcWJhfLut24cLSq3n9JlSIvB4df2aiC2dx
GR86dJQKl4K3Lw/HduOrrp9veFtSoVfHeL1XrQcXM+npcrKhQmoBd1FuXQ9+
Y9N/NwROk/3RuxQTTvbiCqXGVbFnqaC+MenKSO/FsSvM0s0uVIheu5948Fof
PqxdxD5ykQrmC8JlFb/7cAnZ8OnaK1Q4Ml0zWnyjH+fe/0wn2IMKB1ZGle/N
9+Nfn5jb8HpRYVX1Y3rOpQHc7XRhVbAPFXbFZx0zHBzAOX3nu7/5U+GbZuuJ
RvNBHFGOiqwHUeGqbMan+x8H8Rzx+UkhMo/QPY7mzqkO4bU13GjLLSpwqW/j
hkdDuAlvFysligpJLuGCP9aGcH2+AA1aNBWUE8xcInYM43inWt6HOCrcRI5S
6eeGcaqH2EDUXSpU7M/+dCp5GP/608fQ/AEVNKU0bWYah/Fw5xvGQo+oIFSy
lBK8NoyfGX201p9EBfzbNKe21gjulvZEPj+VChDcOLzdeQRnqf0o4ptBhTfU
/46kJ47grvcZ95llU2GbnOzNpMYRfG53zKJaLhkvR7hKTDZG8IGfNzL488j2
N2vEW7VH8ZCpkRTm5+T6hjaoNq6juLzj1CGGl1S4H+p/mCF3FBeIfM3H8ZoK
taHTgbN9o3jq3cPmckVUyFzlfn1QeAzneNfvcqiYClq8aULqlmN4nmLou/Ay
8nmX6Xjd3TG8RuJ4evMHKqy5d5jtah7D879fD9XEqeCy8Ot2Fu84nuO2ip5U
U2EuyLFe2WocX9u+Gdeqp0K5euee3ynjOOux6r6OL1ToluQUUxkdxylru30f
fKeC0+XyJPq2CfyI+53fl1up4K+ZSrPxn8AVeobeO/ygwt7o8wZpjRN47/VD
W673UOFVQte3TkkqXuoxFZQ7QMbD5bwvGl5UnJNt2PT3CBV01OIuNHyn4tLu
xv0XqVQInNvfW6tKww27dyduTFKhszPU+nAsDa8M6Oqu+EkFJZ+6Po+fNFyP
JfdU2iIV+k6nFvDb0PH6pVdKWX+pIHnvaNPGJzreYeaZU7NOBTFR9eMULQJv
oVxUYWWhweJGpPFyNoErSG6SdWGnQe+R529zBCfx/THVRC83DWYpo7ltMZP4
w0MiExcEaeCsF6J8inkKjzoZ7MUmRgN7oukwJXgKjy668rdcmgYcMtJiz1em
cDYLux9+ijS4M1GVxe03jV/Xqr5krEYDAcO/dNa/0/jOI6IiYttpUGsgzeTo
P4OXZHXv/61Dg7rhoD9TqzO421bf/zr0aWCy0/mHd+gs/qnvavx7Qxr4GUjm
t7D8xOU+6F5P+I+ss5SVgM/RP/FV3MTW3YwGb77lvkqkzOEVE1tyDK1oULmm
su3CoTm8WUnm1eZT5HpSS/QN4ufwx2Hdw98caGCT73GeoWUOfzJblhp0jpyf
aohmMv88bnRZz0DSlQY6CuxS01bzOPGzVeW5Bw2aUneVjSXO45SAlU9S3jT4
dV/t1vnueXwTRe1CQAANijfzs50WXcCt7vb5V4bSYEf1+8Q3JxfwYOeLv4Yi
aBApf73YOWUBj5DHxagxNPhsfbTEr5t0zdvm5rs0EA4ynVoS/oWn6fLPZzyk
QVzVpbwhq1/4pGfRGYsUGhzY+1Zv94NfeMwVl8XJDBqcEZP/w9L8C08XWklw
fUyDn8HVWoc4F/F9zsbiHXk0kIh/sJvLZBG/aypySfEFDdYvJp41v7mIF1Ye
OH32NblfOq0rW6oW8Xdv0tsj3tHgmNjBk5f/LOKfRBcKE0vJ+NBd/n5o+298
aUq4MeEDDT6+myyouvwbvyo+wBqM06DxrYxhQ+5v3DRd2OhEDQ12nciYcO3/
jec5PToj2UCDLXXOtNeCS3iGk9qujkYa3JfzSUk6soRb3yvID2giz+dB71Gl
W0v4+NB4omAbDUr07p9w/rCEuxu/HMz6QYP0vZmbji0s4dzFbfZSPTSIqmQp
nFf+g4/KqS7d66dB0nBD5hGHPzhH+K3w5SEajH6d3Hbu0R88+8u7CesxGvm7
xuM5fP2D101G/3tOpUH97dPnhxmW8dTe7tzfBA1kJkPvHtFZxmmypQV6M+T7
x2ZK41yX8W3pR+97z9Fg407okYLsZTytnL3+5S8amHqLVrz6sYyfn7Qt7V+i
QWp3olsux1+8PDO/nXWFfD+qq/0+/MVrD56PVlujwZJ1xclwr7/4B8uNg4cZ
6FAhKHUl7Plf/POOEf/zzHRgThzxeTT4F5e08UsIYqVD2Ysx4rPACj6tuWvj
Hjsd3igxayqaruCO6je35XDRoa1P6v274BX8Jf49+hUPHRhThahB71fwjRMR
EeX8dODVrt8eP7mCRzsL36kWosN4AA/LlMw/3Nd6lq9RhA52Ri1fsm3+4evp
/iEt4nQ4epr2s/TOP/xggbJxpxQdCpJ3junV/8MjZs619snSARoTeLXW/+GT
nVkPRhTosFJNHc/VWcUfdxr9oSnR4a0V5/fMq6v48Gnc7acqHTCL4V2qz1fx
pp4Ql2V1OjyIORBnPka2r1owZd5OB7c2YQMRqTX8tm9EHK82HVpWdhXHn1zD
X/s/TZXRpcPHH6GO5Y/WcHNtNLpzDx2+LhgapLet4dsvuvoeMqCDX69/kBDv
Oo7kB5mdMXK89oSJf0fXcY4Gn7YAI/J3ufzf3Vvj1nHxoqTtCQfpMMonvNe1
cR1nNM5wf2ZKh/Rx69c5bBt4zRCts+QIHXaOyp/MPriBe452luLmdJC3mPpn
cGsDlyj8Yo8s6dDks8XO4tMG/jlLWrTUmg756QJ73q5t4OFiu7Uf29JBNFxR
I1WCATkEXV8LsaODU9DD6m49BuSorFFtZk8Hj7NclSEnGFBqQGMzlyMd/JsN
A/2vMyCBrjzPMmcyHtxmXN7HM6CBVLl/5ufpcHHwU5dIPgNiUMp413qRDqW1
N3QSPjGg6L4bk3td6TBZ83GUu5cBRYlwzcS50UEzxHKfzzwDYtqHs9VcpcPn
FGpBKYURbX45G9N/jQ5EiVbMBwlG9LL6L+rypEODH9XAXYsRzY3ActENOjyJ
qFL6YMiIxi/JBF/xIc8zyPV5/HFGlFixksXkRweVTXkKrU6MiF9b44WnPx2O
4XL/PDwYkYuO2ExVAB3+Y6DecglkRFaKQznDgXRwGdb41RbJiHI9c9BgEB3o
yrFuP+8yopakg5qVwXSQzL0tPpPEiOzY3rcHhtDhkEixwkYmI8L3NicohNLh
nUXmG9unjCgwP8i6lHSOSBt12wtGxFf3ZH13GB1sdQZnX71hRH8pqjcKSct4
HZvjK2FEJbSFTJGbZDyklfBHf2BEn3rHHYNJr3tlBpl8YkTpNhO5o6RzGh/Z
hjYwovqOnkOm4XS4ek716/kmRlTx+Zl+CelX3JOr6p2MaPm5toP6LTrk3XUS
Yh9iROuz55KLSGe+ldVXIxiRKbdsk2kEHXoNipMbFhmRbfBh6hLpJ2sFlnxM
TOhFcWN9VSQ5n4p79/fyMaEq1VvWj6Po8Ed/MdBPjglttjrjm3+bDhzmzvrr
u5iQeP5eoY5oOtSXu/5ZPcyEnDJY+FViyfkdTPuR78KEnAsyrF7E0eHwx5B1
7VAmlGY8XW1/hxxvMi+lI5MJ3Z74YWhyjw79DzObKhATKmDAKi4+oIOejkAm
B5UJZZ/c+bnuIXle7Nvc8riZ0asx4zm7JDK/LGv4n93DjHYMal1VSqWD+E9H
Zs5LzCjhdmGYQgYddnRxmPimMiMtuRsu5tl0yEq7Gu7fxIyuT2JWT3LpwKnU
uTTGwoKKZRrjpZ/RQcHl1lCkAQtyZmk8WlVAh9sGKGCXLwsa6Pjb4veKDiMZ
zezV71lQRCu/lUUReT+vLjesL7Cgj3pNAlgJHbQyQxerdmxCP49MHDGsIO+7
wKvvrZ6bkO8hPn2rj2T+qqi/z1WyCVVe45S6Xk2HqCDeEOzvJiTNFK+ZXE+H
VJPWdjBgRZv2mhdWN5Lxymze1B/GilrtODtmmsh4S2t+SdSzIlqu/7BQOx10
VpILd3NR0HPLEzy6XWT8c8xzp1tQkP8zm4yjfXS4UirJQ02kIHxEt8F6iA5s
Uy7T9D4K6sPefDk8Rgf9e1wT3jJsSIPFf0SNRu7n/VO6Ti5sSNrV7PDCJB2Y
eh/KBj1jQ3zFVKO0WTpIWDGOphBs6KLsKkV+gcyP70cmHqqyo6Id+95G/qaD
UO/5E56X2dFO313f65fpEO5WFXvgOTtyrD1bP/6PrA9b+Ae30NjRS2IfZXSd
XH/Y/aer8hzodoXZCs5IQN/xi3uYznKgC+w8HKEsBMTr1izqpnGgD/nr2fIU
Aq78aNpW+IMDrVxOV3nJToBNZ+meazyc6L7cBW5xLgK2jRV4J/zHiRZzBsqv
cRPw6UnHbvkwTpT2ITjxLS8B6zWOPZrlnGhu/xfufn4C3hDBbz7PcSI3in78
giABZR9thdeUuFDIoHXgkjABc1Pizv32XCg95dFBQoSAnWK/Z2884kI6nP4n
vokR4LDAy9/zlQt92HRTOEeCACPJdAUhps3oid22+YtSBHwxqgnW270ZOQ39
OaYoQ0AD9ztfa/fN6Jyzc3aXLAEiSsmXfZ9sRjIVM6Zh8gQ82JX18m3vZsRa
IlQmr0iAxNhiIi8fN4pXOWWNthIQ2l0X9sSEG8nR9OJslQnI+7ivLjCYG+l9
2tkwo0JA0r648vxibmQSU+8RpkbA3tLhsR0z3IiTySlfUJ0A3DEiiF+RBwVk
6Dk+0yDgofqXab0zPGj44zUjPS0CNDn+JaU94kFBnzX+fNlOwC/qpQmVJh6U
IfFI4eROAp6dLMpwZeZFYZJfPKnaBJzRlGT4Ks2LPNR/xl3TIcBsWuLoNn1e
VPRKTWRFl9wvtp7S27a8KIY5typEj4D6FV/PHi9etP+OnyLTXnK/9yq823Kf
F4m/bf8Tqk9ArSFTgX4hL7Jv+tH/z4CAjKg9sfu/8CKL/54EXgcCGG8uRktP
8KK9Yc4h4xi5/uc2Pc0MfMihTzfewpCAfd6xLw9L8CGWcmOzciMCwh1KdeJ0
+dC1wLeXxY0JUB9gehFjyYemo7JifA6S53v+kT7mxoc+GGif+G5CQKxXolRe
FB+SZXh4Q8KUgMIg9VvFOXzo0vaxey6HCOBdCcu+8IEP/dh58NjTw2Q8On7I
K+7gQ4WXRuwGjxDgo8bYmDzDh3R29djxmBEw1exvwMHKj0qWLZZ1zQm4W2+u
zSzFjzyFPXpsjhGgkGnrFraLH3399rjZ3YLsz3BH58Mj/OhG460jQZYEHClR
pVs48yOj1H9E+HEC0lfvSnz340fMDdP7w63I9Yq8mRa7x48i+gxmA6wJEODq
aTXP40fJTh233U8Q8KfX1ji0kh9tpj16YWdDwPeoIITa+NH7XxfmjGwJ8BB6
VKlI8CM7Aa15pZPk+UTOFNVs8KMfLe0mbKcIeDrYIfFaWABNl+y+M0F6UTrF
c1VdAHkfO2CP7Ai4f/S2FjIWQPuU+y1SThNge3nuG7e9ABL+MsF07QwBKn7S
1aveAqi56iDnf/YEjAc6R2feE0C77o+zSDsQ4OrLkc72QgCJNz2JXiKd7u7k
aV4vgCw3ruxsPkuAtVP57ahRAZT7Wi79uSMBN06csa7bEEBjl16ciXQioPdo
uqWklCAaK5vmO+9MwPnDtX9zDQSRu9I3S1MXAv5ayNe62QsiG0yzQuscAV4u
FLW7oYLI7c6/EYnz5P2P+PhM4okgCk0XduG+QLos8Z3qF0F09ve53k0XCdjd
VqfW8FMQrSTK5DNfIsf7KRM0sUUIvT9cY025TMY34znf6/uFEJ+FxC5eVwKo
v81mT10RQinjf5Mkr5DxVJX2OjZZCDUZqbZouJH5yIQtfr5OCO18GaBp5E6A
4i0LG79FIWRuV0k5dZU8byftIR4FYZR3p6LgugcBHa1uv3OshFF5+IHLcdcI
sKquuCwRKYx4fZWT864T4CvfzXOlTBhpPdeORJ4EtI/fLA6aEkbJVrqRPV5k
vvvts22f9BbUWrpOzN0g88NBL+PU41uQPe9JZlYfAvTqtVuDb29B1WmCCiK+
BAS6eGd3V21BN5M2Mrb6EUDhWwp/+GsLUtxPr9byJ/f/g8eRLBURpNqZPr4r
gIBTx3MbJxxEkMTDKatdgQRYfj7UbJUogvzKHp/TCCJgg11BreebCPoSeu+i
TDABy5TpVw7MoiheNfw1RwgBPW8d1H7oiaKjv/6LmyZt9Gfvta0eoihW5M2x
ulAyXhsMLLA8UfStK9LsYRgBJgJy6Tz9oijZPa3L9iYBu1hKqeF8YqhD5Ycr
fzgZX0U8nUkHxZDYwxCjT6Q/XD/W/l+AGHIy2ag9d4sApaQMk4evxdCLgbIT
DBEEhHmKp/uMiaG5OV6H+6T32M3qzQmLIzXxKwdEIwmoytkT889UHNktabgl
k76UqrCUGCiOfCU+Ak8UQf7faKHir8TRLaVguWDSkz+d6jyHxZHP2/aACdIR
vzZWXvNJIHMr+SLj2wRML32du2YogTYVtKplkY48OsVTel0CpRwxMl8gXXLo
5qfAx+Tzzv6bEE2231/sjlolkNEwk3oU6fDI/NAQBklkuUns/RfSVNfQs6Ua
kkhjKDKYEkNAkLGjz7nTkqiN8moBI/3u/FWNqGhJtEd00dub9C+55lnREknk
XFh1LZ908vcnsuKjksjE/qppF2nuCkGt25ul0FidmwtzLFkv9hqF2++WQtrB
kirqpDfnWd1Kc5JCOrJja1akzx9xS9ePk0Lj/8mbBpC2vflWG4ql0N67htey
SauXXDPLG5BCIm+31NSSjq95dTh2kzTqXdqvSCetlPNo62Z1aVT9tc2FI46A
l8bHew5ZSSPhtD4zNdLtzwTtnQOkkUiL25tDpI0/sr6+8VgaMXWmnrhI+kPI
ifrsL9JISsSL+xbpyVGtTOZ5aVTAyPk0g7TBVcdkey4ZRFvzoL0nff+9hL63
jAwS9i19/IX098qzut3aMii472du3//7Zz5AeWgqg+wS1MomSR9nHlAut5dB
ixyBL5dIW+82FLXxkkG3CheObpDOlIyxDoqRQRbU7Ess8QREa3w9tTdHBmXI
JH/bRNqdKp6XXSaD8hsII2bSBejB+8oWGVR88Fn6Kvl+wu6DzFmEDGJmH82d
Jx3y5QiPDbMs6vZ7sXWU9LfZSutFSVnkxSK08J10s3zh8Ug9WSQoqNX+//VM
jO2MlDghizYEuJMSSV8suHC53lMW+V5FHJ7/388F+6CEB7Ko6r7tP1PSSru1
9BOKZBEflbZLnLQoq31uS7ssquV+e59KnkeEsnjhgSVZdD7mA/dL0tcCWNvH
ROXQQ26s1JX0WO/HO4/3yaGZYz6PFEmPyI2dvOEih3gpqe96yPhx1eR/dSxW
DiVRh8Vvk07on2RReSeHFJ/e6tYifYSVq3uhTw6dWK761U7G7/PbgjmPN8mj
ukd1PtdIv4Tcnm1a8khgZ4c7O2k7is2/CDt5NBQhN5ZG3o+PH5pCHkfJo1oj
YlCZdMfu58Pe7+WRi5zjlTfkfXt6KiLpz4g8OtlV/WgH6R1rjFKivArogIjJ
udfk/Y1erZpp3qeA8NStE1tJF2rbhvK6K6ArgqnSKeT9zwu7at6coYCIPb1S
rKSv4Y87GJoUUGuN9IwbmT/EGu9Fp6wroDqX3IctZH7JDOqmxWsqIpf2DGkN
0lwlIpfaziqig3UmyZFkfrpiPhdp90ARcc31sPWS+atCcb1CslYR2bLHByiT
XhccCd68pIhq61NWrpH5zvWv7hFp5a1odmD3vRIyH77RF1M6eGorin5MP71E
5k/esDCDq3FbUcqwQe920hlLQyaRH7ciXSaB5Etkvg38/mzde24rCrhmuDWT
zMe1uw6LqcspoeDkPMEWMl+HOugff3hcCZ0YEf21Qebzdv8Zx+RbSkiqxNtC
g3RHacu6QrESmglNwu3I/J9y0HZUcUIJ9b048f02WR/0bZZqIwWVEUPOHY4S
sn50iUo67DRSRr6NopRxbzJ+P+67tOWaMjrxoM1SgPSxG9/TpDKVUZlTQtAB
sv44ue99rd2ojN481dniS9anpp4VO+PfyuhkXeLrV2T9ekoLOqUvrYKa1e50
0sn6xvlZx3nTfypI2eiPuBJpvhdJGnFXVZD/jZc8l8l62Ir4b1Q+UkED227v
LyLrpaue2M+wChV0td1lPwNp4oCM9ecBFWTULpFlRdZXV4Ekh4ANFXQ9MWby
NVl/2X7M1UdKqyLhqNvv+EkPlmcZdRqoov945qODyHq9Pi90x/qUKpJIyVyb
I+t5TmGd/ZyXKnp7xzXTjfT/AIECkXw=
      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVl3c8198Xx32sj5lN2auMVLIq0n2TaJCWUkRoC5UiFbILlZBNZHw1CFlJ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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVl3c8lu8Xx+2H7L23rBRSknVuUlJSVkTfjKSBqIzIzAppkVGIlCSaVtZ9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      "]]}}, {{
     StyleBox[InsetBox[Cell[TextData[{
        "\[CapitalDelta]",
        Cell[BoxData[
         FormBox[
          SubscriptBox["", "1"], TraditionalForm]]],
        "/",
        Cell[BoxData[
         FormBox[
          SubscriptBox["E", "F"], TraditionalForm]]]
       }],
        GeneratedCell->False,
        CellAutoOverwrite->False,
        CellBaseline->Baseline,
        TextAlignment->Left], {-9.043975650665072, 0.9052428092918636}, {
       Left, Baseline}, {1.3663644828034043`, 0.1673821106703771}, {{1., 
       0.}, {0., 1.}},
       Alignment->{Left, Top}],
      StripOnInput->False,
      FontSize->23,
      FontWeight->Bold], 
     StyleBox[InsetBox[Cell[TextData[{
        "\[Mu]/",
        Cell[BoxData[
         FormBox[
          SubscriptBox["E", "F"], TraditionalForm]]]
       }],
        GeneratedCell->False,
        CellAutoOverwrite->False,
        CellBaseline->Baseline,
        TextAlignment->Left], {-7.0973100784798335`, -1.585297583522626}, {
       Left, Baseline}, {1.476999432505188, 0.4685971637419535}, {{1., 0.}, {
       0., 1.}},
       Alignment->{Left, Top}],
      StripOnInput->False,
      FontSize->23,
      FontWeight->Bold], {
      StyleBox[InsetBox[Cell["BEC",
         GeneratedCell->False,
         CellAutoOverwrite->False,
         CellBaseline->Baseline,
         TextAlignment->Left], {-9.681739049295519, -0.725600554184475}, {
        Left, Baseline}, {1.452814667907859, 0.8624041133465218}, {{1., 0.}, {
        0., 1.}},
        Alignment->{Left, Top}],
       StripOnInput->False,
       FontSize->23,
       FontWeight->Bold], 
      StyleBox[InsetBox[Cell["BCS",
         GeneratedCell->False,
         CellAutoOverwrite->False,
         CellBaseline->Baseline,
         TextAlignment->Left], {3.742283596670202, -0.6786744264087616}, {
        Left, Baseline}, {1.0931759460304868`, 0.24848755904933556`}, {{1., 
        0.}, {0., 1.}},
        Alignment->{Left, Top}],
       StripOnInput->False,
       FontSize->23,
       FontWeight->Bold]}, 
     StyleBox[InsetBox[
       SubscriptBox["\[Beta]", 
        "o"], {-9.241108339582363, 0.3409837775874789}, {
       Left, Baseline}, {0.6636732537664448, 0.27380378115073617`}, {{1., 
       0.}, {0., 1.}},
       Alignment->{Left, Top}],
      StripOnInput->False,
      FontSize->23,
      FontWeight->Bold]}, 
    StyleBox[InsetBox[Cell[TextData[{
       "\[Delta]/",
       Cell[BoxData[
        FormBox[
         SubscriptBox["E", "0"], TraditionalForm]]]
      }],
       GeneratedCell->False,
       CellAutoOverwrite->False,
       CellBaseline->Baseline,
       TextAlignment->Left], {4.305908014416437, -0.2016824339397707}, {
      Left, Baseline}, {1.476999432505188, 0.4685971637419535}, {{1., 0.}, {
      0., 1.}},
      Alignment->{Left, Top}],
     StripOnInput->False,
     FontSize->23,
     FontWeight->Bold]}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesOrigin->{0, 0},
  ImagePadding->{{0.1, 1.1}, {1.1, 0.1}},
  ImageSize->{810., Automatic},
  LabelStyle->Directive[Bold, Larger],
  PlotRange->{{-10.3125, 5.3125}, {-2.072917, 1.572917}},
  PlotRangeClipping->True,
  PlotRangePadding->Automatic]], "Output",
 CellChangeTimes->{3.531514922286435*^9, 3.5315152408909683`*^9, 
  3.5315153702847424`*^9, 3.531515510654076*^9, 3.531525595374724*^9, 
  3.5315408550839095`*^9, 3.531770775819605*^9, 3.531772954409231*^9, 
  3.5317731179318438`*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 GraphicsBox[{
   StyleBox[{{}, {}, 
     {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJwVV3k41N8XnrHvVNpsJSVFiJCUM1G0KftSlEQpa/ItSZQthKzZUkRKKUtJ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       "]]}},
    FontSize->23,
    FontWeight->Bold], {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJxTTMoPSmViYGCQAmIQzeCbNfPgK2YH7Xaxm+e+v7cXPRZ2TuP0L/t17g+r
RNa9t9dzP/TN+9J7+zQweGe/aXPLfub+t/aHv2rE9B96a//q96/6/Stf2J89
AwJv7KeUN15R8zoHVf/M/pqZSrje4k32xmDw2N5kScNkbYMN+xnA4IF9VTnX
PenoS/sh8pftL6hdPndd/d7+WTNBYKf9Vl2B35JbHkLVMzAk3D133Vf7CUx+
/9KMwM61u17A9O9fZ9T3SOrhG5j5+9VT+lWiYj7sh7pnv8rZ222fNT/th7p3
f9beB0EbWT5D1X/YX6c2bwkX83co/8f+DYt6NFrm/oLZf+BQpsGxKx/+Qvks
B6QtXi9+0cZwAMLnOJChZXPmbzozlC9wIK7sSS4vHxuUL3LgIGtI2O8ODihf
4sCvnCmTfivyQvkKB5RM832+bxCA8lUOAACOWbQo
      "]]}}, 
   StyleBox[{{}, {}, 
     {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVV3k4VP8XnhmypKQoZVeREKEQ5QwplBZrVIRQ36whSdpkl8iSiCJ7CVnK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       "]]}},
    FontSize->23,
    FontWeight->Bold], {{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJxTTMoPSmViYGCQAmIQnROWbKUpx+yg3S5289z39/bPXhieWG76036d+8Mq
kXXv7VUK5Nr4TryxTwODd/ZB5zbP0Zj6yv7wV42Y/kNv7Tkbn10sP/HU/uwZ
EHhjP89P1TUl5ChU/TP7M9a83NoWXfbGYPDYnrHQN+HHnz37GcDggX3ayUN/
Frhd2Q+Rv2xfMl3g5rrT9/bPmgkCO+236gr8ltzyEKqegYFPdUNQ0s3HMPn9
6+2//nx15DlM/36RmV88Gt1fw8zfL7DPfalz9bv9UPfs39x/cb3/zg/7oe7d
f0HZfad49keo+g/7JQ6Y2y2Z8wXK/7G/Nj/ya0DWd5j9Bw5lGhy78uEnlM9y
IHMxZzWL4x8on+OA6XeOmadMGA5A+AIH4sqe5PLyMUH5Ige+WLR36u1hhvIl
Dkxm09OZupsNylc44JJ1b8a7RE4oX+UAANpBsGc=
      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[Tiny], LineBox[CompressedData["
1:eJxTTMoPSmViYGCQAmIQrWlVEf6pmdVBu13s5rnv7+2LGxbc0vr2136d+8Mq
kXXv7Rf+YslJ/vzJPg0M3tlb2U9mij340f7wV42Y/kNv7dd+VL7jl/PO/uwZ
EHhjf+DJnJ9XpW5A1T+zP74qRPHA2hP2xmDw2P7UK0OeO5cW2TOAwQN79+XG
jsocZ/dD5C/bd7hG7NJ8cGf/rJkgsNN+q67Ab8ktD/czQAGLH88jlfNPYPL7
J+ziXGG07BVM//4Pmx5wqXN9gKp/sD8lL+3EqZmf9kPds5/V44OJNffX/VD3
7p/7Qbjtifk3qPoP+70/ZxVeP/8byv+xv7ul0v1rI8MBqPUHHppIJGf9YILy
WQ68YNlRsDWYFcrnOHBuwiKjlHOcUL7AgbiyJ7m8fHxQvsiBtee/lXsJCkL5
Egcez9mgn/JdBMpXOKBkmu/zfYMElK9yAABK7bF0
      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[Tiny], LineBox[CompressedData["
1:eJwVV3c4lv8Xfl97b5HRUhGSEEV1HiOpKDIbNqWshor4SiV7VcqIQko0lJUR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      "]]}}, {
    StyleBox[{{{}, {}, 
       {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVV3k8lN8Xnhl75Is2hUiWUopCUjlDiiQUSdmSSItdyZJKRUTZkiIREhWi
IuG+lmzZpSjZ17HNjJkxG37z++e9n+dzznvP8zyf9z3n3i0XvE65EnA4nA/v
8f/1mo2L3vbNfMQvsXtH6yaew26VuAuDDAJxG6PR15L5Auq3aD3LbyYQyVXj
m1fJpYLWMbOehFcEoigtcnLh9EsITO1VjvUiEIOii9tWZ6ZBnEzf7cyDBOLr
75qkHYR0uF1nNd4iSCDuYppxJsvTwegl8ex/rXjiiMMOmcq7GdD/6nXPpXg8
sYbRfOyd5Wswaw28+NsKT2yt1owo3J4J8dvquA5SeCJ/9dmuFrEseJ8fkcFp
wRGdaUa7+NhZkHq+8lRhOI44c3bhmSUlG5z1r0iEHMQR06gXJb5Q38Bw8Ial
Y8Mr8J9fSLeH0FsIyjsaNmy2Al1PZJWLdHPhifCFwqrSZRg1ObISFp4H8kmX
IyaUl+F4GsNlkPwO1K0chKwTl4D7RMOqKeADfIJDGkL8S0DYvNBMlCmAT3Yi
BPx1LqgrvZrM8CgErZyqEIMJDtwWEimcsvsIOxTd0hvOcWBJt6Q8wLYI0psZ
15La2PCqNFfczKUY4t/4DecdYcO18MFst5BPsFLQhxOsYIHTa7uw+szPMDGp
2ZCjzYIQMZksz94vcOykn25sAROw2s2i9nKlsG0q/SRSY8LOH24lT7y+wu3C
sjXaOYvQKL/wVqS9DE7lYKEUpUWIqq4ZaNQvh6yWonhaJgN8i3vs2r9VgNfW
OAt9JQaEUjXl5IwRlLy1+9yaTYc/aELS1huDQAep2uxtdIj+0FNiZFQFJQaf
g2ve08Cy+uoda/lq8Dpt1Ke6hwZqy+lXI/A1kJWMxjpLF2C9883Af6QaOC2q
mlxL5OFpSq7N31q4/SFogdtIBc3U1UvUzu+w5rJkxBEbKoRaPU7mb6yDZVXD
4UsTFFAl67z+96keDpLEBC7eosBuX6FNoUkN0FngM79fmgJPe1dWxjwaoeKm
d8ZUCRnOqihYrzvQBFwjERk/ezIE2bqvF1tugri1B+1/CZBh0avnaNOXH8Bo
lWxScZ+HrmveYxauzXAzeOCKdesciFloUFNFWiBr19ALbf05yFov7fExswWC
JtefayqZhec1qjYxe1uB8/bOW6kDszB92umDxtdWUPLeHC7eMAOpLZW+KVpt
wD1EplY4zkCe2tE3LdltECrFmFNYmYZHX9iZLoLt8H52d9C+3GnwMh3fUavV
DvfbXibiHaaB0DF2RdixHYRKQf/2pmkwMmWd1whr531P6wIKh0ig9UVB/GBG
O4i/lIenRSToWmvvu+NbO8Q/d0hSjyGBotu7mOW2dkCpbSGBPiTYnCd+/vNA
Ozx/c51604kETYMPpixI7bC5xGJxxxkSKK2SVGudb4cTrQ6P4m1JoK5SuEWD
3A7bZl7lv3chwZiWS/v16XZYf4D/8kdfEogn/SGlj7bD3bGb1b9vk8A9t065
uL8drk4vlck/IgHNU/Xu+952aDdLOBWZSILicS43ursdPorsj1ybSoIsCePn
1p3tIKk471iVQYKGGQEbvvZ2mH76uetJNo9v8P69z1vb4Yhr9MTtHBJkfxvS
WM/DMrF+L+J4+Hz+snkQD3uuvzpTy8s3s4qN+c7Te4jp+2/jaxJczUuaWexo
hyjtRx6xvHrlxZLXJHn1T7UWp257SgLwwotJ8fglV89cGebxZfS5NrP+tYO9
lE5PxR0S9HP1PzSMtENKxZPRMj8SLLZG54fy/DpXy3rSe5EERlYW7TJUnt8q
/n82WpOgJjJcKp3dDiajyzXBBiTw891zXZS/A0KWnput7CTBmdVWTAfxDlD3
PeKftZ4E185Npjzb2AF2hvgDV5en4NNZqlOpcgfwebakW41OwS5RHyNsTweo
0XOzHRqm4I/nxWMFxA5o/Z10LDJvCkrvN3s+sOgA8rrE6F9RU9BolvvJ0KkD
3HdleQtcmoJZJtUB59cBkumNi90Hp0DkW8aH3zEdMHOFX9FEbAqkEz5nNhR0
APOx9bxd9yTI3d1F7OrpAG2xMifJ5EmQfiB2b1G4E7KGtfzcrSdB5JXFNW1i
JxyR+r7dedUkkFsXOdGhnbA+5co9ztcJaF0rsGe5phM23lK+s89lAl55B4hH
SnSBeSldfp3gBLgPm8epX+yCT2Z/LyS+HgflK4/Kpiu74LjeL5PPuuPQK6Qe
VaPwE0TujncENIxB9Le9uM+RP4GwRWz578kx2PnglSzG+gk7Nxm3DP0chaqL
3gOj3t0Qee0ZRJ4chRPn3phsne+GDdJL1p31I9DqamAb7P8LumVvrq7YNwJH
IgzEZ3G/oTZI+PKxjGEorHxz5WbibxjXzL8UwD8MUmI+HnK7e2C/4WURY+ch
uOqVvr6vvQfK3+03Ly0ZhNJJLbdPgb3g6ymv80NoELgBu+zfbP8DH9dqh628
7gdtuRjmx8E/MLR8uv/d9n9wscfywO+0v+CfknEnJfMvPMwNVFp/sQ/ytf+K
0mX+gLZUWRxd7R+0SNcpDrzsAVZC7Xnu7D/oMbrw/ez239C163mc2od+aP5a
sHCxshu+D+9TuuM+AHkB+R9wDj9h4oxl9PJ/g+Ab6riwU6ALFpsul7RfHgTF
VlQ79aUD4k3dE75UDUK5W+eWfb7tUPbruELhhiG4G7tznZpnK3h6rXWsuDoE
58bWLwuKNsP7tdVm/RVDINzsssz/rREC6qxnpMSHIcJozXql0Hpovt980M5+
GF6aKx+5aP0dPlls1y95Owz1pOePvh+qAUXVq2SVhWGolvaZMtarAhnReKu8
AyOw9ePpil8JlfCK8/KSQdgIuFk//uXUWwYFzMc7Z+pGwFImevOOIyVgSnB9
nScyCgMCFk91fxeDj7RCY4jpKKxf+1vv4ZNCUDqApV+IHIWxRyabtfrywOXK
ke32daMwpeOh1DeWBepvCi5cxo+B5yldCcmbaRA2t2wWpTcGed/z4n0rEuDC
4b2TlT5jwH3skv513z1ozzLTEsoZA9z4mZYGizXQIHVc0+XPGMgWp8QePhKG
1PSzTqaLjYOj3LSqq1k86vzdIhStPw4xfqts2JdTUNVAvZWK9zismjudW3jo
NaKfjtf2yhiHkHcT4iewN8hXT/2DW+c4yPuW2XUefIe0Y5LLxPgmYM6g9Qmx
uAAdMv/p4Lx3AgJi4rp/SBahx7cGky7y/pvHoX2/po9+QioyFa7rEybgIK3+
OC7wCyKoXmm6UT0Bd+astETeliKVjInaB5QJcPS4Eyv4swzFR2qfPqwwCQSf
E+eZ3HJkPGgVXGA+CeKsssx+RYQMsg33NYVMQk/YxQ99rzEU2oOPTMibBP8f
3wxri6oQf1Cct2jPJNjZjEiqVFWjtkjKrKbAFMRu/buJ0FqDRoQU8UJ7puC/
vZkOtr216ABNMS/KkdeX7h/4s23kO+ozp02W8/oQVTor1m+6DtVuSKp4+WUK
rOf77uhS6xHZXHib+vAU8AmP5wUsNiA3mum2q6tJwL2AxDU5jUhB2LHyjC4J
DHGX319cakKKUQYk6gXeXBsYvie1/ANdCaK/O8iba8ze3D3WS83IJvDw0aMl
JGDV6dkc5rSgw6p0jgJvLna/eTo3sNiKNO+vamleNQ0xgWWc7QttSD723tdj
WtMQ++pnZeyNdiR+/HzVM96cbeRo6I1Q2xHuc/rol3DeHD5J9Yr27EDkFqOt
OQXTEJYufT56qgMNPzW75d4zDfxTmatGXDpRt1gplY2bAZpaolfsv07UsCfi
nuP2GTjpNvU40aYLlQuV7U44OQOyKZnu861d6OMjy8XkwBm42FjNTT/6E72r
NP3jlTEDBMrR47kVP9Gr9Lc9GxpnQFFKw1pYqxulal6hxpJnIGVn6IbK3G4U
5/NE9e+GWUgiaj5t2vwLxZyXvsnQnwXSiWMt6gm/0P1l/tFh11mosq5DE4K/
Udjx01fTo2eBav32GjPwNwo2FhHfXTwL2ebzXU4zv1EQVaH5ce8sfDRIocs5
9iB/s9RstDILsOt9x562HnT9dPCLKuU5UF2r6J4GvchndWVe4vE5iF/glp4v
6EX+/hd/6frMwZnmg7WBm/8g/yhPufykOfjnu+LZ+ugPmv5uaB3zbQ70v11I
O8z4gwxfGlt4DczB62y3U70Of1GUxC1xa8I8DGmKPnpS/RcVy4/EHVCaB8Xz
liZuSn2ooSmwV/nIPICGTpTDvT6ESRqMSbnOg/3rcsvrA30ok6b7mXB/Hs58
GUn5oPsPXfJzPkbPmAera++uCj75h2Qel2WQKudhZ+0a7PbwP1RoZFQ5/Gce
CJWyzzfu7Ueaz5bT/tHnofRsHaPrTj9qqqZlzAqRwf+ZRG/+j360EBH2y2Mt
GcQDOJC3ZgCtTtnm4aVAhhfM8B11tgNIljvuSt1BhjW8hkFIGUBy7yowhg7v
nDl0O9bpzwCSevv+VogBGdyzGPc9RQcRh1qceu84GURyl+4d2jaIeh51yYmd
JkPWsvX31MOD6K2vKH69Ixl0srkm0Q6DyCPH7miGGxkqU2niYjcGkZJa7ewH
TzLojx3cIBsziNrZRosHbpDhc2i3c/nrQeS5sf/C8VtkULpcOTfzZRDhw59o
9N0jQ2TWYsWHxkH0kHj2/FwkGQ6tM3795e8gci26rFz1hAyJr3w90ewgWjKa
L0p4Soa4w0GKDSuDyJI5JeyWQgZNvGNlu+QQcmg+q6qbQYaAHjnD3q1DaGuV
vviqHDI4NX79MKQ9hN78Sq74+54MM12aeJLxEBoWc9f+UEQGOeaDg9SzQ6jH
5f310FIyLGh/cWJfHUKRf11DLSrJ4BlTfYUQOoTofokWCrVkeLSc57Aqdght
UtedIjeS4USkl67U6yHEFjx5vKqNp1ddgrPx0xB6ih+4HtdNhqrp6OwtdUNo
WnbY3fkvGbxrxvZt7xlCHNtzSppDZKj9tKlIgzSEaj8bv8VNkOEb2rFWlzuE
TPbm0dpmyHBmVNoRxIdRRMddkVdUMjxTHH5yVGEY3YltHfdgkiEkKCL3xJ5h
pOUdG31wmQz8M8LvrI2G0WvvevYqfgrsCXBLtLMZRj/i/DR7RShAkE13veA+
jPK7EjVy/qPAzT+fN18OGkbHdXYw/ddRIL4oB3lFD6PMrzoPDWUoYJl13eRG
2jD67FAy+N8WCojH0noZhcPIp3lEU0CVAttsWIlXa4dRYwH1nak6BdIY9wJ/
9gzz+suo+eBeCvj4JEZozg2jYz9LNtXpUSCjTg2F8Y8gn3We/3ENKLCDcVSh
QWYE7f0hqB52jAJSuKk8vNYIiqXf9bM9SYHToxJOu0+MoIeJA8OhZylAe115
8OSlESTzVj6Y7kwBygHq4UthI+iYhuHB8isUMCl45++TNoIk1Y1VuvwowOGS
Wr2+jSD/tF379Xj3stXKhacu9I4g3/tMf0o4BQJVOSsmzBG0aiCrlxlLAUP+
5l9bpUeRfv7eS5YpFHD7pvibqjuKxKhZcsxsCkyareC+nBtF1/OY3PlCCtSU
Olt73BpFN3/vEtAtpwB3+ViHdMYoWh9orNNeT4FY+dKA0u+jyOKJYWxpFwXu
b3pvbDY9ipQ2KayhDFCgdV7Z4KfkGIrbOFgZOEOBoFfKFy33j6GUmLCEUywK
3Nr+rhBzHkP6N4TiggWpMBjzRUX50RgK7fIsoa2hwstm47pbn8eQTXapYOUW
Kng/71BUGhxDTnvcLNN2U2H127o2n1XjSK2K6Wp/iArBTJUWN61x9PWktzHT
lAofo6ib+BzH0arRZpqPLRVKHbd/PRoxjuRvins2ulLhof+PHM3CccRYrV28
7EuFbc094zU94yg+m1greYcK8a4nbyzhJtC8vmYGIYYKP4jaNv3bJpDkH0HT
judUaHW4H+5mOYFoN6oqb72hQnq5vlBSwARKXee8IlRMhYMOF3uupU0gwS9j
ot6ICgVAZ5FqJ5COrcXo5x9UGHOhXJWYnkAq3JcPe39TYarRdtc/iUnUm9HB
/DNCha8+OwxO6kwiy2MkrbJ5Kpyxu5x1zW4SRVEnDgZwqFAdLmW7+84kinjZ
JCEltACLCyr2z7Mm0VHT+MIoqQXgvH5TmNcwiZqY+rJDcgvwIyHutMvMJPov
t91q3fYFcK+bMK35bwpJ2xmfUdVagHa93NimPVNoVDxTZQMsgBClWyXw9BTy
rx2pGj22ACJTHqvbAqZQXbDI9ljrBehR9DFqfj6F+rTW2m90WgC3e0VKj79N
IX1bucBHlxcgfZ5faM+/KeRlrp9G8VuAqEvu0yXLU+jGhoAfx0MXYMt0X4e8
AgmZF9fjXjzkvR90oeyyAQmxtmjo98UvwLl1rKynF0gowKXwntRLnp5v6XGZ
90ioMcCk42DOAph5nr2TkEVCs45MFbuPC2C6c6uP63cSGpXG7nt8WwAGfcll
4zgJvc9+RfL7vgCnfkzZFghOo2MCz2w92xbA/v24harqNCrd96bVvncB1j6n
mdw1nkbsgy1mMLIAQXFrjCouTSOJdWJd62YXIPrpYYO/EdOIgS44DzJ49bPv
E//mTKPCQx2LaTgaVGK/DCrqp5H+4zNJJ1fRoG9i/5G7E9Mo7SP9IHMNDd5u
yjdVFZpB7TnvpuPlaLDl7N5TBSozqNs78PUWVRqYZjbabTw6g/LFnJyzNGig
wPK+5Oo6g2yD7bfJ6NHgzbnt1xPuz6Bf5T6LDw7T4E899X5m5gxS7UhrHTWj
QRmxJelp9QwyLR35sM+GBibfS/MuD80g8CU+DXWiQc5c59tDuFlUm/w4v86d
BrTT+wN3y8+ixO85W+V8abCHMy0D+rOogPmIdjeYBk79pNhrDrNo/Z4DW+j3
aRCyot1TEjKL6n0+5954TIMIxxaKQuosqi5hxwgm0yCMU/gv59ssEuYXbc3K
oMG1X4MpZn9n0Qub8csn3/H4zNvv/I8ziwIKop3FPtNA6qjyk/lNc+iV+PKn
7koa/Pizv3ZWbw5J+etd/NBAg+sfXvwQsZtDbQMGXgmdNJCsNM4+HDyHek+u
/RXRR4NkMYOTKSlzSL3pY3LUOA0knoe3SZTPoWaTTSUpZBrcdJFWyOqbQ19a
Tmh+Y9Og9SrD8PTSHCLZmglN8dNhbZGCrtLmeXSFtG6/8n90MNV5tiIB80gr
LK/OayMdvJlnn8ucn0emCqsKG7bSIZzpLmB0dx69r9Wi795Fhyid2sNRr+fR
GS+1pGxdOtwqumo9VzOPzBWm47cfpsP5a077vMfm0ePfN6a/naCDTJEFI4KP
jGSftryyt6UDt3ldmdtaMqLZzheIutBhc5jCIkuJjDacJXyK9KBDk9njQxNa
ZBT5Y6fRswA6rOx0itllREbGhZ7nte7SASkmjLedIiMroQZh5yg6CO9SO/bj
PBnlt+sekkugw19zpc8KnmR0WqxqyT2FDroP7qq1B5HRsbLzpkaZvHodBrm9
4WQU/WfD1oI8Ojze46p5KJ6MNnmMR+R+pENk7nQ1O5WMFn2ab+4tpYOYTreD
VA4ZKU410s0q6bCpZwvhfiEZvejsX6bX0KHoSUeBxVcyOr9LNHFXIx267Efd
rleRkR/X/DOjhQ4hcE6V3kBG7QfzLph30qF4315KaxsZ3ZmXTdX+RQefI161
hF9kFLw2x/l9Lx1K3cUzYv+SUc07k+KiPp7fGRIRNwfJyPYzPs5kgA7j89dv
lI2S0SHNTrbHEB2arfS9bCbJyEO+jKw4QocDLZd9zKbJaOb2V99Lo3TYY88M
SZ0lo5JT7XcOjNHhC44Ud3Sex+fZ8qZXPFxdpl9oSiYjHQsjg3gePhvF+P2W
h6dvZiys5WHdj5Zp1yg8PQscdjNvP1mf6OSMBZ7/L/crnOfFRZpy64wXyejx
jXMureN0WPr2dpsTl+fXbcfaDVN0YB6NrJwgUJBEyZHDB2fowL5y/OHQKgqy
2SwxeIBMB75t8w/M1lIQ41PFi/V0OqwJ9S/ZJk9BlCBzv2Y2HbZ7/JW9sYOC
jLyrLzvgGXCMvvWL1n4KIiduDG0UZoDXevN7F00oiDlpVSghyYCU9rP3Bc5S
kO01H9zeTQxo32r8dcNVCpKS9/XUUGLAaon1iimhFKSCt2EL72aA2dO6yicJ
FBQvJZdVrseApGLbJ/RcCjpjVX/1uDEDxq80JzRXUVBAjfXJz9YMgG9bmtf+
pSDqhe/W7Au8elm2uq10CqrW3Hhjky8D8Ko+PUxJKiLvtvy8LowBnoZX3yfu
pqIbDlekZuIZMMI4+inDnIpsyi7FvMxigL0RP1nei4oeHzVRUSthQL9aptN/
cVSkQBD7F9fEgIt5W/m8P1HRqtmijz/7GcCsfvDHoJeKTgkdyqIuMEDvlEBj
4jIVPXlxdt8ZkUUY0+7/eHPrAnInl8x6bF4EmofE01njBdQrbFuvs3cRLrNT
fBeuLqCxkf21H40X4dDfO6ZRTxbQw7sOo/12ixAkgWSLihbQ96Fq1UqvRdjw
wmbqSvcCSuG/8tji3iLI3zQu/LS4gMRIp6QTkhbhQR7vpriRhtbG3/r+MHcR
Tmlqq3P0aKiEO/VUo3wR7ovtGVm0oyHa9uTIqNZFkD34MOFBCA01bXyYnjS4
CNLYPv2sVBrSa/76x5q6CP7JxBGrchoyNFDX/c7HBL3vr8MS/9LQ6M3h0om1
THA46ijrxqahzX699uXKTJiR8StskKajhd1SSod1mNB7ZEi/XIeOnAqixUOO
MmFX7dt6ojUduVFMZC/ZMGE8qdHUxoeOhBhHT/C7MUGg8nADN4aODCvCM6yu
MyFs/waiVh4dSRkLbzx9nwlXRYyKuN/p6E7Cj2LhBCYUqzdtthmiowev2308
M5hw8U3uAyKXjpT9N1iFFzDB1294/Nt6BjonnH7GsoIJXckOVK4GA603KQok
NzHBbhO/re5xBtKWTSqO6mGCNLN7g6crA6H7xwXkx5mwotmlmXabgT7e7fT8
sMCETQ2c7IbnDLR6zQ6yNp4FTmUW/rPFDNSiezqyVJwFv4XbUsVaGYhJtdTT
lmVBSHGgvMokA0UbbOZ7v50FlmUW3P2ERRShVDEiu48F1nIn95rILiJSinpf
hBELIvpu1VrqLKIvOV4zMydZMLHYXWBlyYsb31tr5sTbz+ss3fLKIooMcbfO
vsaC/YeFn5rcX0QxR+TfMwNZsM1v+LFe2iJivs6RORrBgqMrE8MqpYuoPRGf
GZPIgqcT0nGrOxeRuIy6YVsGC8R3Xn8+N72IirTVWKsKWPC1mctpFGAibJRZ
TyxnQUJjQekreSbS2fY837uRBa8UH7d57WciaZzohxe/WPDz9zOinhUT2V8z
r6kcYYHeVLPoyjUmEvNwofSRWdBpo65ZGc5ESgTTffQlFiQrfC0MSGeirB2E
p0KibIg66h21o4yJoqcerVorzYbQnq96X7uYKFRm8wlhZTYYjXN5xwUm2pQx
L9mpyYZ+r/2JOEEWuhiEO+ujz4bD170OlW1mIZscS8VxUzbcZqTtV9/HQgzV
QQ+NM2yIXKh/eNaChYCbf8DShQ2XrpHU4BIL6ShVPDrixYY1zoIK/aEs1P1q
laNEMBsSOmTcdZJYSMHrWVFhOBtGK9T4TD6wkHS8S6RKPBuEVfZSpGpZ6Juw
17DPSzawRLT3PPvDQkJdXyvi37Kh+rJG3U8yC+Eph2Uii9lge0T5ww9BNnpz
YTXHupINKHXNRLAsG9FU1zswGtiw6MXxG9Nkoxmio4FHFxsIqM9K2JiNEj+M
5Xz9x9MbWRI+asdGIx7vY/9O8PxqfyQW5M1Gg3eLOJ0UHp+Es2MN99kofGpx
8hWHDXYdCpIdyWz0JyvE1lCAA8GPhp7Ev2ejX8VE0zJxDnhUpTivxtjo9nqj
SiFpDmj4WYQbdLFRZ3P4J7UtHKhP5y7tGufhX8LqW9U4sMs0s6GbyUYhWk2q
lD0cILf1Nf0T5SDjbty2qQMcSI43nJqT56C3b4cLnY5wYHv8z60i2hyUnu9V
bW3BgYzW+KCdxzlIYyLHvuEsB3Amt2ZtL3DQmVOPbpdd5MDh5YSQx0EctIa8
cccObw54UX6ptiRwkBtm5bQphAP3thydX5vPQSdrdGUfPuTpeTzU6drIQV3M
Bmf/pxyw083tRGMcNHWeX2PgNQe2yr+cU+TjomccUnhDIQc6DStUnmzhon8N
IW4aiANXMkWC+Q246FvD19b1rRwYJoZNhzlz0U5OBgr+x4FjMqo3V93jIp3z
2vudZjkQu4epkJLNRd2Lfgeqlji8+w59TKuRi1ZXO9RliHOhe4N8/e9ZLuqp
pPbiFLjwe8y/9t6aJaQ/t+dGvyYXSsmMf7p6S0jXcnOKnhEXHupmr1l0XkJN
o59M1p3hwr6K266VUUuI8o4R6nmFCz9Dw7sef1pCRdkjh46GcuHUra8O7gNL
SLAz+EFqPBfKS6X5j4suI5oGOu2TwwVBzaw6Hd1ldKP6Q35tOReWU97lBLku
Iz3tLZ8PdHLBqiA01zV+GY3sW4gJnuCC9FW55sXKZRTQtHX/fS4XdNsi/tOc
XkbUmaIvpyWXoP5vhZ/khhV05lW6IFl5CT7FImay4QrKGJrZZqW3BOJz0Wn1
Hiuop/iZ3G3zJfi+oOz6MnkFUdZljPpdWAJSRpTZppoVxBISCdW8sQSezDJr
/dkVNBbZNlUSuQQFwX8r74visPIUmqrQyyU4bYFGDingsJuHburKFy6B9qLw
8yYtHLbF65wMrmYJDvuV9qsdw2GFGintud1LcK+m5ZOjAw5TCtOzlZ1cAtaE
iYybDw4Ld9EtOsNegleD26UMHuCw5p+J/XZiy3Dzg/fz+WQcxum2+Ldt8zLc
N5f76PMeh0ldupxfuXsZvtfsPluPePjh0Ek5g2XQXf02jtyJw7i6pfVGp5ah
Ty383OwYDvsROPuftssyfJRtKq5g4rD7pnfV5vyWoXzY76WzKB5Teue3wfv+
MnBC7m3olcNjBSm1v8oSl+HKNHOLkgYeU5D1d2/N4uH9zxINDfGY8pMYev6n
ZbD33WKsZY3HvM7I5pyvXQa9pGf7Wa54jOWvcGukaxlEsllX4wLw2PeJ5wH7
RpahPs24n/sQj3UWPEyypy7DjXt3Yw+8wGNbW2Z6T+FXQNIqJ+zEOzxWDHUG
myRW4OXqr5/2lOOxcKF1rUWbV2BD8ReV6WY89lypN1RWfQXCDqf33PiHxyhJ
UtZnDqzA38rrTd2zeCzSseqEy7EVUFLexxVaxmMXg8euEs+sgMONUY/V4gTs
zmxo/tzFFQgvuiU/LkfABj7FrPP0XYGUXoJkvDoBu9UhmVF5ewUypv0MJQ8R
MMfDoicHo1cgabK92MWMgIWtClLuer4CIe0bXSPtCNi4iuPmZ29W4ESmuU3Y
FQL2KLnkwM7iFZBw9oowDyRg/k7ht+LRClSJhDBnIwhYWnDTSOOPFXB56Z97
PomArZq959n5ewWoMmdfvMkiYF+Ki+Tej6yA34PtP1ARActus6HYzK/AUO/Y
gfcYAftF9J7qZK8AcePjmautvPi9FYIEH454c9nEybuPgLWJhEp0COOI/kaH
1u+YJmD7dmhE9YvjiNrTVyRT2QRsaGKdt+46HPEbtcOyZhUf9gN2V/fL4IgC
dr4/02X4MNqekDsdijiilJJZqpY6H+ZQxc2TUMMRx044vQ0FPkxwutAgVRNH
DO15xww9xYeRC5KN/PfjiL9rNGO03fgwaYlPxckGOOLifxTX10F82B1Rvici
pjhiX/lU2PcnfJja6we/6k7hiBFNMqNp2XyY1M8DUe12OCJdNyJyVzkfdiBD
OU/FFUdUFd7p59/Fh2WJHNZp9MQR5XRXZXhP82FmqxN3ld7EEXsatqzZys+P
ab2XTlgIwxFty3wbH8nxY/bj7S7BMTjiC7Glmrx9/FjNt/J0i2QcMRNhhDun
+LGrO/uOeWfiiL5dFQ9EPfkxa93dTv/ycUSCCc3sRBQ/FjLweTCpDEc8I3fR
9kgOPza8xbs1tY6Xb7X67UItP/ZoxWHbfCeOaEmaP2A7wo/53rw9FzOAI1KH
RNf6EQSw5OifCoEzOKKdnrOGkaIAhjvogApZOOKp8K8TFwwFMMtplUycEJ74
zrY/1u2CAKazop+ttRZPdPzYtsMiTAArCMj+brYFT/SOjSmVfS2AfbM+x39s
F544SN+wr61KALNPcnDefgBPLBjyzHEbEsDiDxb0zRrjib1W8SIjOEHsnLHF
jSRrPNHFLMzBSEEQK/1yaNdWZzzR9Id+ZhQIYrlRQfyJHnji4/b6P58dBbFd
NQKsyUA8UdNejr/uliBmfH5AVDGchz1B/luqIEZ3FjoE8XhiouCunU+/CWL7
Gm5FE9PwRHPlKTXrP4KYaIIhWzkPT7zY5C3DZApiftWnw+c/44kD9NqlOxuE
MB+bEo2XVXhiSc5Yx5y2EMZvcYm1qwVPnBzofGZgLYRte+86mNWDJ95Ii7YI
9BXCBjyKxpZH8ET3ESnW01ghbFfiCZFD83jil3zXxGf5QpiE/L7jTmw80QH3
YEtosxB2T9zrnasAgejS451+jCSERV+gb7eUIBCbdbZLsoWEsR0yTXWbZQjE
eJl8vyfKwpi97uzdDmUCsTB8pV7ksDCmUOZo565BIC445JSOOQlju1sG3Sr0
CESliN3kV8HCmH6admmeEYGoT0j21E0SxszUHSw0zAnEg22DewsKhLGzQWd2
mp/h5c+JEPkbhDHXB0oW/OcJRLbjmoR9A8KYr3ltySl3ArFky9LOY3RhLKRb
x22/N4Fop1O/ev8qEezhppBzpQEE4lSqj7bQZhEsTi4xsS2UQLxwmptZrCGC
pfSHrr39gECsdbp0Vt9QBMt2OPin7hGB+F950emcUyJY/ovmsTdxBKLRlf7k
OWcR7PPT3fvknxGI/wNPmps6
         "]]}}, 
      InsetBox["", {-0.5942695486086853, -0.24757259443606117`}, {
       Left, Baseline},
       Alignment->{Left, Top}]},
     FontSize->23,
     FontWeight->Bold], 
    StyleBox[InsetBox[Cell["-0.553",
       GeneratedCell->False,
       CellAutoOverwrite->False,
       CellBaseline->Baseline,
       TextAlignment->Left], {-0.6490193017730945, -0.27410061499813665`}, {
      Left, Baseline}, {0.5078341793208714, 0.4123390280841576}, {{1., 0.}, {
      0., 1.}},
      Alignment->{Left, Top}],
     FontSize->14,
     FontWeight->Bold], 
    StyleBox[{InsetBox[Cell[TextData[{
        "\[Mu]/",
        Cell[BoxData[
         FormBox[
          SubscriptBox["E", "F"], TraditionalForm]]]
       }],
        GeneratedCell->False,
        CellAutoOverwrite->False,
        CellBaseline->Baseline,
        TextAlignment->Left], {1.6242889255130466`, 1.3515109123435405`}, {
       Left, Baseline}, {0.7071053699281984, 0.4685971637419533}, {{1., 0.}, {
       0., 1.}},
       Alignment->{Left, Top}], InsetBox[Cell[TextData[{
        "\[CapitalDelta]/",
        Cell[BoxData[
         FormBox[
          SubscriptBox["E", "F"], TraditionalForm]]]
       }],
        GeneratedCell->False,
        CellAutoOverwrite->False,
        CellBaseline->Baseline,
        TextAlignment->Left], {-4.102260716365154, 2.8372627025132324`}, {
       Left, Baseline}, {0.788943935870662, 0.7123824182590673}, {{1., 0.}, {
       0., 1.}},
       Alignment->{Left, Top}], InsetBox[Cell["BEC",
        GeneratedCell->False,
        CellAutoOverwrite->False,
        CellBaseline->Baseline,
        TextAlignment->Left], {-4.47441639047597, -2.5318403487727217`}, {
       Left, Baseline}, {0.798404714717418, 0.8624041133465218}, {{1., 0.}, {
       0., 1.}},
       Alignment->{Left, Top}], InsetBox[Cell["BCS",
        GeneratedCell->False,
        CellAutoOverwrite->False,
        CellBaseline->Baseline,
        TextAlignment->Left], {1.616389048160726, -2.448625678891654}, {
       Left, Baseline}, {1.0931759460304864`, 0.7498878420309307}, {{1., 
       0.}, {0., 1.}},
       Alignment->{Left, Top}]},
     FontSize->23,
     FontWeight->Bold]}, 
   {Hue[0.67, 0.6, 0.6], EdgeForm[{Hue[0.6699931334401464, 0.6, 0.6], Opacity[
    1.], AbsoluteThickness[1]}], FaceForm[None], 
    StyleBox[RectangleBox[{0.4032684816417363, -2.841496871327084}, {2.8569383728520217`, -5.898188908733974}],
     RectangleBoxOptions->{RoundingRadius->0}]}, 
   {Hue[0.67, 0.6, 0.6], AbsoluteThickness[1], StrokeForm[Opacity[1.]], 
    EdgeForm[Opacity[1.]], EdgeForm[None], 
    LineBox[{{0.5972795893188279, -3.5165944992206324`}, {
     1.2591998390406722`, -3.5165944992206324`}}]}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesLabel->{
    FormBox[
    "\"-1/\\!\\(\\*SubscriptBox[\\(a\\), \
\\(s\\)]\\)\\!\\(\\*SubscriptBox[\\(k\\), \\(F\\)]\\)\"", TraditionalForm], 
    FormBox["\"\"", TraditionalForm]},
  AxesOrigin->{0, 0},
  ImagePadding->{{0.1, 57.}, {1.1, 20.}},
  ImageSize->{866., Automatic},
  LabelStyle->Directive[Bold, Larger],
  PlotRange->{{-6.357448, 2.874057}, {-6.1875, 3.1875}},
  PlotRangeClipping->True,
  PlotRangePadding->Automatic]], "Input",
 CellChangeTimes->{{3.527474517385562*^9, 3.5274745384891977`*^9}, {
   3.5274745781596117`*^9, 3.527474612033218*^9}, {3.5274746666203117`*^9, 
   3.52747467440219*^9}, 3.527474836621146*^9, {3.5274748854195766`*^9, 
   3.527474991101678*^9}}],

Cell[BoxData[
 GraphicsBox[{
   StyleBox[{{}, {}, 
     {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJwVV3k41N8XnrHvVNpsJSVFiJCUM1G0KftSlEQpa/ItSZQthKzZUkRKKUtJ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       "]]}},
    StripOnInput->False,
    FontSize->23,
    FontWeight->Bold], {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJxTTMoPSmViYGCQAmIQzeCbNfPgK2YH7Xaxm+e+v7cXPRZ2TuP0L/t17g+r
RNa9t9dzP/TN+9J7+zQweGe/aXPLfub+t/aHv2rE9B96a//q96/6/Stf2J89
AwJv7KeUN15R8zoHVf/M/pqZSrje4k32xmDw2N5kScNkbYMN+xnA4IF9VTnX
PenoS/sh8pftL6hdPndd/d7+WTNBYKf9Vl2B35JbHkLVMzAk3D133Vf7CUx+
/9KMwM61u17A9O9fZ9T3SOrhG5j5+9VT+lWiYj7sh7pnv8rZ222fNT/th7p3
f9beB0EbWT5D1X/YX6c2bwkX83co/8f+DYt6NFrm/oLZf+BQpsGxKx/+Qvks
B6QtXi9+0cZwAMLnOJChZXPmbzozlC9wIK7sSS4vHxuUL3LgIGtI2O8ODihf
4sCvnCmTfivyQvkKB5RM832+bxCA8lUOAACOWbQo
      "]]}}, 
   StyleBox[{{}, {}, 
     {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVV3k4VP8XnhmypKQoZVeREKEQ5QwplBZrVIRQ36whSdpkl8iSiCJ7CVnK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       "]]}},
    StripOnInput->False,
    FontSize->23,
    FontWeight->Bold], {{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJxTTMoPSmViYGCQAmIQnROWbKUpx+yg3S5289z39/bPXhieWG76036d+8Mq
kXXv7VUK5Nr4TryxTwODd/ZB5zbP0Zj6yv7wV42Y/kNv7Tkbn10sP/HU/uwZ
EHhjP89P1TUl5ChU/TP7M9a83NoWXfbGYPDYnrHQN+HHnz37GcDggX3ayUN/
Frhd2Q+Rv2xfMl3g5rrT9/bPmgkCO+236gr8ltzyEKqegYFPdUNQ0s3HMPn9
6+2//nx15DlM/36RmV88Gt1fw8zfL7DPfalz9bv9UPfs39x/cb3/zg/7oe7d
f0HZfad49keo+g/7JQ6Y2y2Z8wXK/7G/Nj/ya0DWd5j9Bw5lGhy78uEnlM9y
IHMxZzWL4x8on+OA6XeOmadMGA5A+AIH4sqe5PLyMUH5Ige+WLR36u1hhvIl
Dkxm09OZupsNylc44JJ1b8a7RE4oX+UAANpBsGc=
      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[Tiny], LineBox[CompressedData["
1:eJxTTMoPSmViYGCQAmIQrWlVEf6pmdVBu13s5rnv7+2LGxbc0vr2136d+8Mq
kXXv7Rf+YslJ/vzJPg0M3tlb2U9mij340f7wV42Y/kNv7dd+VL7jl/PO/uwZ
EHhjf+DJnJ9XpW5A1T+zP74qRPHA2hP2xmDw2P7UK0OeO5cW2TOAwQN79+XG
jsocZ/dD5C/bd7hG7NJ8cGf/rJkgsNN+q67Ab8ktD/czQAGLH88jlfNPYPL7
J+ziXGG07BVM//4Pmx5wqXN9gKp/sD8lL+3EqZmf9kPds5/V44OJNffX/VD3
7p/7Qbjtifk3qPoP+70/ZxVeP/8byv+xv7ul0v1rI8MBqPUHHppIJGf9YILy
WQ68YNlRsDWYFcrnOHBuwiKjlHOcUL7AgbiyJ7m8fHxQvsiBtee/lXsJCkL5
Egcez9mgn/JdBMpXOKBkmu/zfYMElK9yAABK7bF0
      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[Tiny], LineBox[CompressedData["
1:eJwVV3c4lv8Xfl97b5HRUhGSEEV1HiOpKDIbNqWshor4SiV7VcqIQko0lJUR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      "]]}}, {
    StyleBox[{{{}, {}, 
       {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVV3k8lN8Xnhl75Is2hUiWUopCUjlDiiQUSdmSSItdyZJKRUTZkiIREhWi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         "]]}}, 
      InsetBox["", {-0.5942695486086853, -0.24757259443606117`}, {
       Left, Baseline},
       Alignment->{Left, Top}]},
     StripOnInput->False,
     FontSize->23,
     FontWeight->Bold], 
    StyleBox[InsetBox[Cell["-0.553",
       GeneratedCell->False,
       CellAutoOverwrite->False,
       CellBaseline->Baseline,
       TextAlignment->Left], {-0.6490193017730945, -0.27410061499813665`}, {
      Left, Baseline}, {0.5078341793208714, 0.4123390280841576}, {{1., 0.}, {
      0., 1.}},
      Alignment->{Left, Top}],
     StripOnInput->False,
     FontSize->14,
     FontWeight->Bold], 
    StyleBox[{InsetBox[Cell[TextData[{
        "\[Mu]/",
        Cell[BoxData[
         FormBox[
          SubscriptBox["E", "F"], TraditionalForm]]]
       }],
        GeneratedCell->False,
        CellAutoOverwrite->False,
        CellBaseline->Baseline,
        TextAlignment->Left], {1.6242889255130466`, 1.3515109123435405`}, {
       Left, Baseline}, {0.7071053699281984, 0.4685971637419533}, {{1., 0.}, {
       0., 1.}},
       Alignment->{Left, Top}], InsetBox[Cell[TextData[{
        "\[CapitalDelta]/",
        Cell[BoxData[
         FormBox[
          SubscriptBox["E", "F"], TraditionalForm]]]
       }],
        GeneratedCell->False,
        CellAutoOverwrite->False,
        CellBaseline->Baseline,
        TextAlignment->Left], {-4.102260716365154, 2.8372627025132324`}, {
       Left, Baseline}, {0.788943935870662, 0.7123824182590673}, {{1., 0.}, {
       0., 1.}},
       Alignment->{Left, Top}], InsetBox[Cell["BEC",
        GeneratedCell->False,
        CellAutoOverwrite->False,
        CellBaseline->Baseline,
        TextAlignment->Left], {-4.47441639047597, -2.5318403487727217`}, {
       Left, Baseline}, {0.798404714717418, 0.8624041133465218}, {{1., 0.}, {
       0., 1.}},
       Alignment->{Left, Top}], InsetBox[Cell["BCS",
        GeneratedCell->False,
        CellAutoOverwrite->False,
        CellBaseline->Baseline,
        TextAlignment->Left], {1.616389048160726, -2.448625678891654}, {
       Left, Baseline}, {1.0931759460304864`, 0.7498878420309307}, {{1., 
       0.}, {0., 1.}},
       Alignment->{Left, Top}]},
     StripOnInput->False,
     FontSize->23,
     FontWeight->Bold]}, 
   {Hue[0.67, 0.6, 0.6], EdgeForm[{Hue[0.6699931334401464, 0.6, 0.6], Opacity[
    1.], AbsoluteThickness[1]}], FaceForm[None], 
    StyleBox[RectangleBox[{0.4032684816417363, -2.841496871327084}, {2.8569383728520217`, -5.898188908733974}],
     StripOnInput->False,
     RectangleBoxOptions->{RoundingRadius->0}]}, 
   {Hue[0.67, 0.6, 0.6], AbsoluteThickness[1], StrokeForm[Opacity[1.]], 
    EdgeForm[Opacity[1.]], EdgeForm[None], 
    LineBox[{{0.5972795893188279, -3.5165944992206324`}, {
     1.2591998390406722`, -3.5165944992206324`}}]}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesLabel->{
    FormBox[
    "\"-1/\\!\\(\\*SubscriptBox[\\(a\\), \
\\(s\\)]\\)\\!\\(\\*SubscriptBox[\\(k\\), \\(F\\)]\\)\"", TraditionalForm], 
    FormBox["\"\"", TraditionalForm]},
  AxesOrigin->{0, 0},
  ImagePadding->{{0.1, 57.}, {1.1, 20.}},
  ImageSize->{866., Automatic},
  LabelStyle->Directive[Bold, Larger],
  PlotRange->{{-6.357448, 2.874057}, {-6.1875, 3.1875}},
  PlotRangeClipping->True,
  PlotRangePadding->Automatic]], "Output",
 CellChangeTimes->{3.5310343095809*^9, 3.53150836314108*^9, 
  3.5315149225273027`*^9, 3.5315152411100388`*^9, 3.531515370546667*^9, 
  3.531515510947689*^9, 3.5315166631976023`*^9, 3.531525595975581*^9, 
  3.5315408553491096`*^9, 3.531770775906336*^9, 3.5317729544768*^9, 
  3.531773118071403*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"s", "=", 
  GraphicsBox[{{{}, {}, 
     {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVV3k8lN8Xnhl75Is2hUiWUopCUjlDiiQUSdmSSItdyZJKRUTZkiIREhWi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       "]]}}, {
     InsetBox["", {-0.5942695486086853, -0.24757259443606117`}, {
      Left, Baseline},
      Alignment->{Left, Top}], InsetBox[
      StyleBox[Cell["-0.553",
        GeneratedCell->False,
        CellAutoOverwrite->False,
        CellBaseline->Baseline,
        TextAlignment->Left],
       FontSize->14,
       FontWeight->Bold,
       Background->GrayLevel[
        1.]], {-0.5807771327279077, -0.28289467766933996`}, {Left, Baseline},
      Alignment->{Left, Top}], InsetBox[
      StyleBox[Cell[TextData[{
        "\[Mu]/",
        Cell[BoxData[
         FormBox[
          SubscriptBox["E", "F"], TraditionalForm]]]
       }],
        GeneratedCell->False,
        CellAutoOverwrite->False,
        CellBaseline->Baseline,
        TextAlignment->Left],
       FontSize->22,
       FontWeight->Bold,
       Background->GrayLevel[1.]], {2.0232591322622, 1.2536159429781555`}, {
      Left, Baseline},
      Alignment->{Left, Top}], InsetBox[
      StyleBox[Cell[TextData[{
        "\[CapitalDelta]/",
        Cell[BoxData[
         FormBox[
          SubscriptBox["E", "F"], TraditionalForm]]]
       }],
        GeneratedCell->False,
        CellAutoOverwrite->False,
        CellBaseline->Baseline,
        TextAlignment->Left],
       FontSize->24,
       FontWeight->Bold,
       Background->GrayLevel[1.]], {-2.759802297473513, 2.330939481593065}, {
      Left, Baseline},
      Alignment->{Left, Top}], InsetBox[
      StyleBox[Cell["BEC",
        GeneratedCell->False,
        CellAutoOverwrite->False,
        CellBaseline->Baseline,
        TextAlignment->Left],
       FontSize->24,
       FontWeight->Bold,
       Background->GrayLevel[
        1.]], {-3.1848133977180115`, -1.2189298833511482`}, {Left, Baseline},
      Alignment->{Left, Top}], InsetBox[
      StyleBox[Cell["BCS",
        GeneratedCell->False,
        CellAutoOverwrite->False,
        CellBaseline->Baseline,
        TextAlignment->Left],
       FontSize->24,
       FontWeight->Bold,
       Background->GrayLevel[
        1.]], {2.0165129243218085`, -1.1659467585012337`}, {Left, Baseline},
      Alignment->{Left, Top}]}}]}]], "Input",
 CellChangeTimes->{{3.527474430738615*^9, 3.527474458009571*^9}}],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    {Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVV3k8lN8Xnhl75Is2hUiWUopCUjlDiiQUSdmSSItdyZJKRUTZkiIREhWi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      "]]}}, {
    InsetBox["", {-0.5942695486086853, -0.24757259443606117`}, {
     Left, Baseline},
     Alignment->{Left, Top}], InsetBox[Cell["-0.553",
      GeneratedCell->False,
      CellAutoOverwrite->False,
      CellBaseline->Baseline,
      TextAlignment->Left], {-0.5807771327279077, -0.28289467766933996`}, {
     Left, Baseline},
     Alignment->{Left, Top}], InsetBox[Cell[TextData[{
      "\[Mu]/",
      Cell[BoxData[
       FormBox[
        SubscriptBox["E", "F"], TraditionalForm]]]
     }],
      GeneratedCell->False,
      CellAutoOverwrite->False,
      CellBaseline->Baseline,
      TextAlignment->Left], {2.0232591322622, 1.2536159429781555`}, {
     Left, Baseline},
     Alignment->{Left, Top}], InsetBox[Cell[TextData[{
      "\[CapitalDelta]/",
      Cell[BoxData[
       FormBox[
        SubscriptBox["E", "F"], TraditionalForm]]]
     }],
      GeneratedCell->False,
      CellAutoOverwrite->False,
      CellBaseline->Baseline,
      TextAlignment->Left], {-2.759802297473513, 2.330939481593065}, {
     Left, Baseline},
     Alignment->{Left, Top}], InsetBox[Cell["BEC",
      GeneratedCell->False,
      CellAutoOverwrite->False,
      CellBaseline->Baseline,
      TextAlignment->Left], {-3.1848133977180115`, -1.2189298833511482`}, {
     Left, Baseline},
     Alignment->{Left, Top}], InsetBox[Cell["BCS",
      GeneratedCell->False,
      CellAutoOverwrite->False,
      CellBaseline->Baseline,
      TextAlignment->Left], {2.0165129243218085`, -1.1659467585012337`}, {
     Left, Baseline},
     Alignment->{Left, Top}]}}]], "Output",
 CellChangeTimes->{3.527474461614112*^9, 3.531034309658464*^9, 
  3.531508363197713*^9, 3.531514922575885*^9, 3.531515241155614*^9, 
  3.5315153706450567`*^9, 3.531515510991932*^9, 3.531516663251244*^9, 
  3.531525596094701*^9, 3.5315408553959103`*^9, 3.531770775969674*^9, 
  3.5317729545249043`*^9, 3.53177311816783*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"muDtL", "[", 
  RowBox[{"[", "1", "]"}], "]"}]], "Input",
 CellChangeTimes->{{3.52606497672604*^9, 3.526064980146294*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.9999`", ",", "0.00005333385`"}], "}"}]], "Output",
 CellChangeTimes->{3.526064980714568*^9, 3.52606592421635*^9, 
  3.5310343097204437`*^9, 3.531508363224204*^9, 3.531514922603056*^9, 
  3.53151524119203*^9, 3.5315153707264853`*^9, 3.531515511019372*^9, 
  3.531516663283873*^9, 3.531525596191544*^9, 3.5315408554271097`*^9, 
  3.531770776051837*^9, 3.5317729546117*^9, 3.531773118348168*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Length", "[", "muDtL", "]"}]], "Input",
 CellChangeTimes->{{3.526065007117975*^9, 3.5260650126551437`*^9}}],

Cell[BoxData["33"], "Output",
 CellChangeTimes->{3.526065013109139*^9, 3.5260659242542973`*^9, 
  3.527473556827132*^9, 3.531034309760542*^9, 3.531508363259369*^9, 
  3.531514922640273*^9, 3.531515241231538*^9, 3.531515370827116*^9, 
  3.531515511057967*^9, 3.531516663319528*^9, 3.531525596410427*^9, 
  3.53154085544271*^9, 3.5317707761259604`*^9, 3.531772954745257*^9, 
  3.531773118433403*^9}]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"a", "=", "0"}], ";", 
  RowBox[{"a", "="}]}]], "Input",
 CellChangeTimes->{{3.526065046870071*^9, 3.526065054103969*^9}},
 EmphasizeSyntaxErrors->True],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{
  RowBox[{"muPlotSt", "=", 
   RowBox[{"ListLinePlot", "[", 
    RowBox[{
     RowBox[{"Transpose", "[", 
      RowBox[{"{", 
       RowBox[{"shiftIntact", ",", " ", "muL"}], "}"}], "]"}], ",", 
     RowBox[{"PlotStyle", "\[Rule]", 
      RowBox[{"{", "Dashed", "}"}]}]}], "]"}]}], ";", 
  RowBox[{"dtPlotSt", "=", 
   RowBox[{"ListLinePlot", "[", 
    RowBox[{
     RowBox[{"Transpose", "[", 
      RowBox[{"{", 
       RowBox[{"shiftIntact", ",", "dtL"}], "}"}], "]"}], ",", 
     RowBox[{"InterpolationOrder", "\[Rule]", "2"}], ",", 
     RowBox[{"PlotStyle", "\[Rule]", 
      RowBox[{"{", "Dashed", "}"}]}]}], "]"}]}], ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"muPlotSt2", "=", 
   RowBox[{"ListLinePlot", "[", 
    RowBox[{
     RowBox[{"Transpose", "[", 
      RowBox[{"{", 
       RowBox[{"intactSt2", ",", " ", "muL"}], "}"}], "]"}], ",", 
     RowBox[{"PlotStyle", "\[Rule]", 
      RowBox[{"{", 
       RowBox[{"Dashing", "[", "Tiny", "]"}], "}"}]}]}], "]"}]}], ";", 
  RowBox[{"dtPlotSt2", "=", 
   RowBox[{"ListLinePlot", "[", 
    RowBox[{
     RowBox[{"Transpose", "[", 
      RowBox[{"{", 
       RowBox[{"intactSt2", ",", "dtL"}], "}"}], "]"}], ",", 
     RowBox[{"InterpolationOrder", "\[Rule]", "2"}], ",", 
     RowBox[{"PlotStyle", "\[Rule]", 
      RowBox[{"{", 
       RowBox[{"Dashing", "[", "Tiny", "]"}], "}"}]}]}], "]"}]}], 
  ";"}], "\[IndentingNewLine]", 
 RowBox[{"Show", "[", 
  RowBox[{
  "dtPlotSt", ",", "muPlotSt", ",", "dtPlot", ",", "muPlot", ",", "muPlotSt2",
    ",", "dtPlotSt2", ",", 
   RowBox[{"AxesOrigin", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{"0", ",", "0"}], "}"}]}], ",", 
   RowBox[{"LabelStyle", "\[Rule]", 
    RowBox[{"Directive", "[", 
     RowBox[{"Bold", ",", "Larger"}], "]"}]}], ",", " ", 
   RowBox[{"PlotRange", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"-", "6"}], ",", "3"}], "}"}]}]}], "]"}]}], "Input",
 CellChangeTimes->{{3.531036459647731*^9, 3.531036463381942*^9}, {
  3.531036657361208*^9, 3.531036661097807*^9}}],

Cell[BoxData[
 RowBox[{
  StyleBox[
   RowBox[{"ListLinePlot", "::", "ioproc"}], "MessageName"], 
  RowBox[{
  ":", " "}], "\<\"\[NoBreak]\\!\\({\\(\\({\\(\\(\\(\\(1.9998` \
\[VeryThinSpace]\\)\\) + 3.182195664158695`\\/\\((1 + \
\\(\\(1.250012109375`*^-6\\\\ \\(\\(Power[\\(\\(\[LeftSkeleton] 2 \
\[RightSkeleton]\\)\\)]\\)\\)\\)\\))\\)\\^\\(1/3\\)\\)\\), \
0.00730300280706505`}\\)\\), \\(\\({\\(\\(\\(\\(1.998` \[VeryThinSpace]\\)\\) \
+ 2.389727073818724`\\/\\((1 + \\(\\(0.000015000000000000002`\\\\ \
\\(\\(Power[\\(\\(\[LeftSkeleton] 2 \
\[RightSkeleton]\\)\\)]\\)\\)\\)\\))\\)\\^\\(1/3\\)\\)\\), \
0.025298221281347035`}\\)\\), \\(\\({\\(\\(\\(\\(1.98` \[VeryThinSpace]\\)\\) \
+ 1.5755994625201821`\\/\\((1 + \\(\\(0.00018671484375`\\\\ \
\\(\\(Power[\\(\\(\[LeftSkeleton] 2 \
\[RightSkeleton]\\)\\)]\\)\\)\\)\\))\\)\\^\\(1/3\\)\\)\\), \
0.08925525194631406`}\\)\\), \\(\\({\\(\\(\\(\\(1.94` \[VeryThinSpace]\\)\\) \
+ 1.1665750646114639`\\/\\((1 + \\(\\(0.0006321257812500001`\\\\ \\(\\(Power[\
\\(\\(\[LeftSkeleton] 2 \
\[RightSkeleton]\\)\\)]\\)\\)\\)\\))\\)\\^\\(1/3\\)\\)\\), \
0.1642275859896869`}\\)\\), \\(\\(\[LeftSkeleton] 26 \[RightSkeleton]\\)\\), \
\\(\\({\\(\\(\\(\\(-30\\)\\) - 3.8800281870844184`\\/\\((1 + \
\\(\\(0.1545234375`\\\\ \\(\\(Power[\\(\\(\[LeftSkeleton] 2 \
\[RightSkeleton]\\)\\)]\\)\\)\\)\\))\\)\\^\\(1/3\\)\\)\\), \
2.5676837811537463`}\\)\\), \\(\\({\\(\\(\\(\\(-40\\)\\) - 4.477427040611661`\
\\/\\((1 + \\(\\(0.17825624999999998`\\\\ \\(\\(Power[\\(\\(\[LeftSkeleton] 2 \
\[RightSkeleton]\\)\\)]\\)\\)\\)\\))\\)\\^\\(1/3\\)\\)\\), 2.75782523014059`}\
\\)\\), \\(\\({\\(\\(\\(\\(-60\\)\\) - 5.480757071056478`\\/\\((1 + \
\\(\\(0.21813281249999997`\\\\ \\(\\(Power[\\(\\(\[LeftSkeleton] 2 \
\[RightSkeleton]\\)\\)]\\)\\)\\)\\))\\)\\^\\(1/3\\)\\)\\), \
3.050737615725089`}\\)\\)}\\)\\n\[NoBreak] may contain non-machine precision \
numbers, complex numbers, or invalid entries. \\!\\(\\*ButtonBox[\\\"\
\[RightSkeleton]\\\", ButtonStyle->\\\"Link\\\", ButtonFrame->None, \
ButtonData:>\\\"paclet:ref/ListLinePlot\\\", ButtonNote -> \
\\\"ListLinePlot::ioproc\\\"]\\)\"\>"}]], "Message", "MSG",
 CellChangeTimes->{3.531036661763605*^9, 3.531508363349135*^9, 
  3.531514922721493*^9, 3.5315152413073807`*^9, 3.531515370900798*^9, 
  3.531515511281817*^9, 3.531516663404901*^9, 3.531525596777156*^9, 
  3.531540855770311*^9, 3.531770776247381*^9, 3.5317729549637203`*^9, 
  3.5317731185816393`*^9}],

Cell[BoxData[
 GraphicsBox[{{}, {}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJwVV3c81d8fvtfeWZVRRmU0yEpI3p9SKWVWGpTCFy2raMkoSVJmRmSESEKy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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[{Small, Small}], LineBox[CompressedData["
1:eJxTTMoPSmViYGBQAGIQfdNNgkG5lNNBbvkLD73/7+1zwpKtNOWYHbTbxW6e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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[Tiny], LineBox[CompressedData["
1:eJxTTMoPSmViYGBQAGIQXXz3/grlZVYOcstfeOj9f28fsv+OkW2TiYN2u9jN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      "]]}}, {{}, {}, 
    {Hue[0.67, 0.6, 0.6], Dashing[Tiny], LineBox[CompressedData["
1:eJwVl3c41u8Xxx97ZJOM8Dz2yJbNuYus7JHRIPm2FFHSkJCKzChlZYdSRhEl
7ih7j4zIDiF7r5/fX5/rdb3Pue/3fa7rnOt8SM7ulv+REwiEIxQEwv+/1/sH
soReq6Puar8RPHkPXgf6XmAKUEehhlYb76d8Ybb57ITxSXXUfCj9wCmCH1iV
B0sNyKsjyi3ZI27P/KDOckXuB5U6cmFrXGdU8Ae7J5lrOz/V0KL73SMaPf6w
+V9iQGiGGsrh0OBaCQ6A4rGupqseaiiKwOCrrfsAQuhs+1PV1VCG4j9PDtpA
uNHK816KTA1NvBta8e7cYy2hI7Q/VJG1+x+6SzkPIczkWozqI1X0z3vr7Xjo
I/hMRv6+VFcVfaoW6l+8+Rh27LsfPyOooqwzpxLDLgfBzZSrBOEvKkg0wPaY
5e1g0BbSXGryUkHh3lXSAx+fwIkBnXPP5VTQb+3sE0p8ofClM9DEe0oZEbt3
yy0KwsCTerfgxmtlpKtTd0nlRgTc8iiIDjurjCQR5RvP/Eho4Eya/XZQGb3R
P10uXf4UPFe+V7F2H0b8qnNLxiNRcIFFmPte9GEUyPrVqIXvGbx1Kf1DYXYY
DbZX4k9uzwEthsm+pj+M5O9T2lL8jAGh0peL56qUkDf7fcYPVi/BurxPQStA
CX2KVBytGo+F7i37GXltJTSxQvqlHRUPb26wCB3dUEQcekYLPFaJ0CBK6Lha
pIiUfXMkTkomgTa7BKHQUxGlmqXj3ZBk2FELyTwgq4jSrSO2KMJTgCletO75
lAISNn1hoB6fCm7KmxdksxQQSbM0PfVDGvAz0PmPuiigaP4dFq2udOA/aL6/
kKSA7i+fCqOjfg1Xz7cIp/yWR1O4m5sWZcK+qeDcrHh51OrnUaT6MAvWs30K
6+3kkcxhsXPxndmgmpalTM8pjyh/rwvIyb+F551G9Wwdcsh/xCpGIzoHRiF5
37NoOVTyLsmdfPUdCA5nrYZZy6HPmv1vA0/lgnmpSwThgBwCg0ciQ2fz4FdC
ZkZXoSx61BHz+jRnPizLTT9IQrJIVofY86k+HxaUXpTYNckg1WeCX2f9C6Al
K0uPwlEGpVcnWlKpfYDQUKJU0oI0utn/NHZt7gOIDu6cPxQsjbI6d57WZn+E
tDSdjTeC0kgjb1Tj1rlCIO/6N8pTfgjJX9V5QclfBDp3CGI+Zw6hewy86W49
ReAcdgs3EQ4h1XBX56Lnn+AMi20+22spZLmg1PbLshi0KBLW9U2lUJuq9+Jv
lpK9/tCPdVuXRB/PKlSVN5dArKp95KNMSbR25byRb8Rn2H+39XeEnSRKcGD3
4zH/Atel8wKfMEiidEm1C89YSyHfbNn/ZqUEYurv2p1qL4XmoeSfVvckUJ/H
rCHpxVdoGikIEFSXQAyT948pnSyDtzZSj4bXxVHi0eAFYWI5XFahH4ouFUdP
ffdZLI6VA22wWbRygDi6Yfogz+wEBr03V5nbDcVRZLHoQZMSDIMbP6s92MSR
wwX7m5K836D7TkgpW58YanPgLR+/+w1kJENmCl+Loc2oKyuBv77BEO1Ph5Oe
ezqzyUFy9QpY4LxCSQFiyL61VM7xRQU4WZv8zWEQQ2FdXxQTFitA+tttBvtf
oshT0EikxLQSTpyev0zzVhRRF1ygKsqqhN/iH6mK74oig0ccHVFk36FCqKLv
sokoUksyf2pm/x0oTXnnBIiiqGeLV2s69zu8yiyHrkURJJd0s+si1Q9IkMut
j6wRQTKPnJx+2P+AtYnJaONXIuhXfk8X2bsfkN/i/pLeSwSpCg5r8e/+gKpx
1FNnLIKOdt2O4jGvAnWZ0yfCRETQZkty50pSFTCkf2e23BVG55htaT7829MN
vam4e4XR3agEMTPNaqjm81IZLhRGRxw8lOuDqiGPVJbxLkoYFZ3vVBTrqIY1
a0vzu9eEUd+nGoFz/DWQ+Ele5biZMMozOb7he6EGkg1POfDJCiMF8dOVd3Jr
YIe+rWSeWRg56+/cObFSA2FXHuoUzAshac7bkaUatXBw4OKYQYcQ8t09cN32
fi28cfZJKvwkhCwpfgmKfasFldVyj7V4IfSWVJEkRVYHlQmKp1j9hdBjh8ZJ
F6gDU6uuM4QLQmjy3Rah/W4d9PK8vf3DRAi18pqPeRXVwX+L73OcDgshzfTq
GJPZOpjtG15t5RNCh/TP7XcQrYdbXXonuWmEUBKl0Nn4k/VANtL7U3leEL3s
o77DGlEPQbuvLkv2CaL9zUxOpbgemKWjOZeqBRFvnzp7wlw9xLh+6o3+KIhS
KUKi8/gb4OCXfZ/oUgXRu2O7g+tGDZDKG/nWJlIQaaS+2PT2agDxMN1i7/uC
yJzbekTyVQO8Y5bod3cXRJNvlF6y/WgA+TQtHm0nQURtq8Yj+7cBPuoHuA9b
CKLXfM6X/BgbQXV7pe+UriBq2Hn/kFq2Eb5Uxju/UxFEtzYE3L+ZNoJm/DVC
h5QgymIpFMm/0ghlD7yKWoiCyOGIW3ZnUCNo33sTmMYpiJ6FHt+QSWuE8sfM
rsaMe34WjLm+fmmEm+8/9ztTCqL8j8kqzu2NkLD1zdx3k4S69nuFEqYaQc5T
5PurBRIq21/H+ZK8CZSYx1S+T5LQxY9JP8V5miCjnZDzb5CEfs4v1xfIN8Gj
8ltE/m4Som1qWDls2ASdbcbPLZtJaNdA2LbAqQmiGO/Rh1aR0CfnrWmxW01Q
7k7nV/eVhBR5bYpjIprAfn1+mbGQhDw9ZUp2XjfBuTfKV07kkNDNi0GzjmVN
0BfQNZyWRkLa284nP3c2QUVAh/1KHAnVyZVtMc40Adcb6VaTKBLipohrd6Bs
hr61YYM3wSQkcWNlIJm3GZjcl/A+fxLaftBOGlRohlwGZzXPWyT0TEE+lsuo
GXCrVEG/OwnN3WfWMzrbDNplFlKmF0iI6YqbuNetZjjU1p5eeWZPXzFBsRHN
EMRYwK99goRiiO/Dil43g+W16ZdfTUhoZyKcpfFrM4RuBLAfPUZCkuZzNX0d
zaCY4xVer0lCPCfaisammsHo4Xc6ByUSOn+PZ+Y6WQs0PXR/OCNFQiSB0Nh5
hhZ4RLnjpC9EQpTkp9IwVwvI2a1uivOQUMsB8cbDIi3Q6HfyRBQLCT12muO0
UGiB076S1x5Q793X99GPDbXAiLmL4dYmEX164kV/x7QFTq7RDm/NEZHcFYWP
j0+3QPUNLvWHY0T0zG/qnsbVFhCrirJ43kNEw9XJF57fa4E7097i0o1ExHvU
0uN5eAtUjFeXGWMiQrO7cRrJLbD1KYBjqYCIzJqzRx8XtIDE6SwJoQwiMhg2
M73zowWMulR3emKISEZ8oYutpwWcRJWiuIKIiJAS6W8x0wIXjeLGft8ios/G
UseVyVvhvI7r2qFLROQkVaH07UAr2LJm1pHbE9GCpo32gnQrqH80OeVkQERu
/qMXanVbgfWQ47tjKkTUueaer3eqFfpu/fpaIEJEYmmrPJdvtEJ8XEVYJjsR
ufjdTVcMawXTpxx8wmREFBK5aZL2uhUmSlK7zPsEUFK794ES3Ao8m/OLFwsF
UILhHMHrVyso/+GMiAwTQA8XXOi7VlpB5S5rdrWLALJv6lQcYGuDUkmRwV01
AVRkxpBQLdcGp/973ibJIIBUJlvP1lm0AY+Us5/BL370O0704bhXG6zcDZm0
y+RHOS701AKJbTBjy8p06ho/eqV3b/RadRuQlS/OWCjzoyJ0n9i/1AZK+QrB
6ut8aNmS5fM5kXZ4INM0sL+EDznck8untG+HWeWq+REvPjRSPkCFI9rhVh1P
ebosH4rm4S9+XtsO/JP1+nZ/DqKLYVPVD6k7YCCqJ2Qn9iBy4TI4HKnXAYXV
OiEvjA6i0C+KhMLgDih4TK8ntMaL2m++F19q7oC6NunSlFRehIyK35twdwJZ
9rsZNqM9/bBF1Lf/OsGG/knvzX88KFTtdrtZYSdUrVQENEbwoMs2cp5rND/B
0s3uD6cMD7oafNPty+mfsHXNiMqqlhvFdB6veVn0Eyp2Xg74n+VGf9Ty7key
dUHmAV2vtBUudLIo7VmqRxdkfTle9SmIC60YidI0t3fBj7+5bWUHuFDRqkrX
frVuIMu4FlecdgAllnZTeqd0g93fML6MQwdQdixt5AJDD8x2naYSL+REQ4n3
Z6Vu98CfJ8qbo8CJDLuXY6tGekCbgmv3V8N+NGTgGlFh3AtriJyV8dR+9GZ2
oFngYy+w6y7L3ZrhQOkNVid/c/+CMIb5M3z+HKhloEp+594vuBy3HLfFyYEO
SahZ3R/8BVkz5GP7c9lRcdab8rNH+uAYNbfWJUN25HWG1zsjeY9HVdJWxtiQ
s1HIbaOdPsh47HigLJAN+V3ZqDJ36IfzcxGx5SJ7nfv9omPxx37w5a+V2Kxh
RXZWP4/6M/4GMrZ9NdfcWBEdl47HW5ff8KfO5gaRkxX9Zcv9q/z5N0gaZsvQ
Yxa0rsOTK8Q0AK2hVKvSV1iQ1tvAMg+nAeh5frkxhIcF5Rn84yLlD4BfTd45
/RhmJBEuNcBFGAS2uUSDqU0mxB7t2NUqOgjnUxMMKc4zof2K7F5fjAfh3kDO
+YgORiTnplfc6TEINplNSRH6jMhZdz2ZGDMI/9bJlinKGdD7QinZhJJBON6l
d35anQGxVfQ7G/QNwiVIXDT4sg+FX2LWFNkZBI3arXZ+7X2oX8m9KExgCD7u
O619/Rs9Ksl529iHhqCTukxB7xg9Emz97s/mPASvPgvkv6ilQzypn9tkHgwB
g1hAyQVTOpQsEIbl04dAyHjseFE7LSow1DzO+2MIhiQMLz6wp0WWxBrPqbEh
OIbfMTUP0CD/NDmVVOphMGdmh9jzNEiz3esliA0D5YHb60Mz1Ohh7ouYSv1h
cOwa0Mr2okYnVWPkZS4Og5O5PsPsNhXCVz0u3Q8ahg3/XJcPj6hQoZmE9qes
YTC8wqW/wkyFlH5/ze2sGQZgDvjwKZYSHeGWLeudGIbfl6ezV4UoUR/h3qUq
2hEQvm8rWfSeAlE+z8x/KT4CzMaVSotqFOhz5/sYC4MRSG2VrX3/gxxtVURx
zV8YgX7mxPEJC3LUdMpKxfvxCJRR74tM+U2GDqXNLYy8HgH9otsV3a5kiCvm
8nGVqhHw5p/0DV8noKjD35DH2AiYgv2PiscE9NJ/qe0p5Sg0cNU99+IkIJk7
lOSxQqMwYuM9aHJ8F8wF5hsfHR2FV8lTL5677gDLrv9+1bOjsFDlh96Eb4N/
pu+n4Puj0Fuj3BvycQuSucY/3E0cBbvXjP+p92+Cu+UXeqYvo+DqSDVUSLsJ
M9abX1D3Xuct8ZnuKG8ADzGzmn15FKxdbHPYL67D6ocy6cesYyCZl7+5HL8G
D1iO/ouTHoPnXYc0M9pWAR+WpzMzHIOY3pqrJIZVyBYK9U1zGQPpkoeRlw1W
QLfX0vTl/TGwv34u3e/xMoTbP7wlHTcGrHTO2edqlyA4RWjb+eMYXLrjn8TO
tAQKBdJ9qk1jYFv97VGkzSI8CUnbnzs+Bn2zgo69SQsQKf0w+wfhDywvpovP
T8+Dwcu2Fz7cf/b2Hf2RDs15eF8fMtgu/wf+hu+LeBgxB5XVeQ/qDf/Ak+OD
ttR1s/A49Ij/ubN/4Irc1PX4O/9gk1u7J/7WH7jToOJZJzcDxGuvQ25E/IGP
AlWW0dNTsBB+5+VMxh/gkozZv/LuL3jd/LxLXfoHsqcyPy/cmITXoue/4dY/
4OKyeST4yAQEJd3r5xn/AzZsletP6cZh++kQw4+tP3DvurzcWMUYTL33pHVn
H4ffj/XGAq6OgvmKXAuX1DjcMSPndqUbAbmLB10qdMbBpM6lPjFmCIIoD393
PT0ODmtXt3j2D4Jd/Z05jlvjoPNBw+4HXT+klM5MfI3e476Jj5P1PeDSHfbu
fN44fHAdYUq79hOS+U9qMzeNQ8xZqfPzq21gFWET/2l6HHrv+ntlVzaBn+S9
744ME3CRTJ877lQ1iMy1ltBIT8BShqn7Ja9yMBi0uptrOgGqtcFHx7xzYWCD
nM7WYwIIZS0jjA2nymdgwHnn2QSUtkjz7h7IL/fOnQjKKJkAJ+d6Si3ub+W3
DQXuGg9MgA/zf/7mQ7Xli4wP1BapJqF7NZ+Mz7O1/M8W+/dY6UkIIHP5scXy
s9yCs40HnZiE4vSaEP3G3nJlh69af+5Pgs/QgPX264Hy6JrOQ6FvJmHylzUL
s9lw+eWzvBPyPyehiz161bpntPyTcLh7F/lfCH8p6WTuOV7uxyZT6SP3Fxgv
8xqR8fwtx5KbwyTHvxDRum4UVDVdHkucDWIL/wumXA5rVG6z5eKZFO5xpX9B
WIBfQot2vty9TPV5yd+/UEEyz1k4sVDufj58051rCnbYKx8KpS2WiyRRpn49
NgW/lm8WNk8vlUddjA9K9ZwC62pXjVXFlfLiCstc/qQpuBqUciDu1mp5zDtJ
ToX6KRBR4zIq/rxWLiEh9LVvZQp8eprbLDbWy28e1kznF5yG65dq8s+rbJbf
afOqXzWeBppJsvEVj61yJUKLwkXvaXC08/Ekf7NdnlNm1OueMg0Kn1Ssgwd2
yn8y/vnGVD8NreQ8VcfoCLhoJmVSd2kaelJUwwJTCNj8jK8FG98MFBR77/qp
kuFUx7vrN4/NgL1+10GNJjL8Zv7lkOfVGWg2sR0rcCbHlzm66Kifz8D+hlW7
iWVyPFh92FOudAYkK4q9fz2mwMwMhTwLwzPAIhd3JJSLEq8MWlMcp/sHP/Yn
FG1kUuJnevsPacj+A4PrZT9FlanwhObKswrrf5BgQJbKUkmFVypXtYZu/4Oy
5y5cxabU+PMvbrEXr/7BbQrrl4Ruahz9aJc2qeIfhKpr+DWepsEdVccTPoz9
g211nhb+QRr8MGFnsINmFhoo5x8vnaHF6TRcXeQSs7D0ojzTtJcWy9K+9NUy
nIW7Sw9lpS3psNgr367Ai7NwmkdXILKKDofV1g91P5qFeLqNm94q9Pjsk/uJ
aumzcLgiU3kknR6nDMbSZ+JZOKRrcqadaR82beCRIPXNgm/E3xl9r334ggn5
eubKLMik3x9D3fvwmrz4Vz7aOdANYDhWpsKAFx8H/LzKMQdvJZ4y4GgGnC4e
aaBLnAP3OEZNvWkGzMBhwZ4iNQdhHf7t5kcYsYTRD+VA5Tmg755pG4hixLt1
0wUzaA6G0y3UFwcZ8ZOY6sf9RnPAqfGOLkSKCdfn2BRaWc9BehzhSKYnE/7O
+ELD/PQcPK08PqhfxIQ9S0J42v+bg97C8PErK0y4O1fRsu/qHNz3qD3BqciM
l+bCh1295sBvZVNa9wozrvZJrPf3mYPfuqJXV1KYsbmVIyP/gzl4ecqAQ7qD
GUfe6MhEwXNwblbVz4KcBbcn9I+J7M3Zo8r2j4N5WPDZoJNs9M/n4C/5w6Qy
BRasrWIqPRM3Bw42pTVzRiz4cnahcnPyHERJ75ITz7Hg4d9PZfJe73GIianx
XRac3TXMEZkzByfdM994RbPgr9FZk24FczDVzcCV8JYFC7CP5BgX791Xcy+m
vJIFN9lEnZEo2/OjtSEy+IsFN5ws2qH8PgfHVQOqthdZMKeIWdhA7RxsFe+/
xcXAinPzT9GXNM+BV/lHdTlhVvycbMDraeccFB13ZDqmyYprOX42X/w1B2Wn
9y+esGbFRlNHuGBoDiKWf078d4UV8zwUNOMYnwMx9vRZj0BWrDLsfWNieg6e
FPnQ3E1gxankR4O+LMxB3oCTnP9HVmz/x+9J2NocpIabXw5sYMWOYUp3z+zs
1aPyeGHgKCsuWD3lIEM5D/33LFkDtlixjciG2DbdPAiXufj6cLBhXU6G0Trm
eTgcGLB1/RAb9quLCn+xfx6YW96GXNRlw/uOhoud452HvJRBKYdTbHjYZ+e9
NGke2qmezizfYMPPZho7BMTmQZFOemginA1nUY8bOEvPQ9vbj9SKb9iwYI3h
vmXFvfwZsTMdVWyYTGGFt1t9HmqaHo03jLJhHd3pO/uOzoOAWWvqQUp2PLkj
JR5hOA8f3WgiK4XZ8dLZQqFzFvMQLC2R+02PHbtcDbr62H4eYkKUCQcus2MV
UgbV1tl5GAmSfVAZzo7d7+2bxpfnwV2EQ7X6IztmCPhC/Hl9HvZ2GH7Bvj2W
LUzTuDcPSDNZpYOSA3sGrt2YfzQPD4v0A/plOLBGwMNnq5HzQNnSu6PlwIEv
iZ8iN42fh/Ig+3fLjzjwxk2fsqWMeSgbrAyjLOTAC1f/1EzlzcN6F3fy5VEO
bMwYR1IsnYcrbidHxfbvx/Q2L2rqqueBPz3IQVN/P5Y+9vtrQfs8sN1OIc+6
sx8X9ruRTQ3Mg+5MRt/l3P04ld8w+vre3vGeEDMROLYfz9NcvW68Pg82HzxE
Vw5y4ozY3hQv6gVAVGoxZTacuLz9Kf8s+wJcWJlS+R3BiTWLoiaLSQvw475C
k1cdJxb19yqLlV2A03EfeV9THsCPbrTZ2WktgIqeJ9Fd+wB2jMwuXjJaAJMH
rn0t3gfwu46Nfje7BYixSDarzzuArx2pqqn6bwG481nunJk8gLN/7ru95bkA
gymlJ5+QuPCpZ/X/mP0WYEgofcnUngs/uEMlSRa2ABwq1bo5kVxYILhEsiV2
AQJ/iRinVnNhRTw+5/N6AQ6zYnr5HS78VSDSh+bDAgh2P/ezU+LG5ZkFje7l
C2Agl/mO6zI3VrEzGy2sX4DX3EtPPZK4sZD8edzTtQDHnvlIn+vgxkEKq2d/
jSwAbzLym6HlwS6nyGs/zy6ArBZ6wqLFgwvfP1723lyAW653jzdc48E+Eo/H
2WgWgVxqoZKYzoM/NxCSQtgWoeJu+iJjFw92e7nEO8y3CN9OR/VG0/Hil6HO
ZzglFmGl5cutAg1erJptdF5caREudhKbLl3lxeb/chS5YBG4XL/1lrzixb9P
BleNGS7CztPEV6nNvHhofoD/qfUiCBsVcgsTDuJTeXmaPI6LoJHDe8xZ7iD2
OdN1JPTSItC0jnD7Ox3EHpWy5gvXF+F+MeNLv8iDWHOg5IKx7yK8d44td8IH
cX++V1Bc0CIENT+KJM0dxFYa5wr6ohaBbbeTvlKAD7+6GzDGlrgIlvOPZI6Z
8eEyz3aSVuYioNexm5m+fLiIeOLCyfxFGORj8px6x4f9H9IXXf2yCHJ2o0+Z
+/mwYMoc440fi6Bkc/AkBwM/jr1O6+7WvAijHEWN6+r8+M+WRc+pnkVgepE/
WX6JH29qNhrDyCII9jHlnn/JjxcU79Tun1mEiZFGvn9V/BgP2ZkNriyCw/t/
h08s8+Ozepd+vyIsQaCGx+orIQHcc/btTQv6JbALsXGusRDAIkoCXGvsSzCS
GH+z7b4ANvj6vSKKbwl4rusofX0ngI9sx98kiS0B2T6T+KBfAphxKV0xXW4J
WhT6bOIoiTg/ZWCdR30Jrn+rKHDiJWJxauPahzp7LO/gckCBiG+S/qaMGi9B
TUDq5TIDIo5dLHmgcmIJbhXG/7BxJOIony9uvo5LQCyQMF/yIuLPwkKhVReX
4PxZubG8UCK+ZC1Cxee5BMcqcwND0og4aV9Fj//dJcBdmTKBn4n4tNE63XLg
EvS+4hqJayXiNJb65zfDlyCEizy1eYKIr51RuUf9cgn6dF1cBQkkXKWojdNT
luCHEED0ARJOixw4Y/F2CYwLo/gEZUmYxovXnqFwCdzXz1A365Hw0uD8+86y
JZCeS1uPPUPCFzucnd7VLMGj2LOrATdJ+JyZ29XotiU4s/xiNzichHstOH4+
7luCGQp9ttzXJDz6yzruyZ+9ev5wk10oI2HvGdnP8XNLMKTKbGvVRcKRjzIO
f9lYAn1H8eC2WRJWyCxkmKRcBl3Vzz/caQXxSTMnEGFeht+V3xmkSIJ43/2M
RnfuZeAkNzhDqS6Ijyk//FQjtAzjCzqfNy0FMaXX7paszDLYxhQTWa8IYhMN
jlcZqsvgOJ3xVPehID4YXBknobMM1Mv7GGNeCeIbZxgXv5gsg17e3yiqYkFs
+WX+9Sm7ZRDmPyoU3SqIi5OuFe07twx9TYlC+X8FscW+xpLgq8tQZBm83kou
hOu2DQ1feC9DXjZlxjK3ECZ6j7so+S9DXTuz6EE5IXzCO4Ph7JNloGx943Ps
mBB23XmA+KKX4UxKZ5aHvRA+w/CAcCl+GXp0I98kXxHCcimpxrppy+D5pde/
zVcID5UOC+e+WQYZqkIZmkgh7OmoE5ydvww0ggL52sl7etD324rFy0Bg46a7
nSuEpdXOrxiXLcPBzlTloq9C+OQ18d3lyr33uZaqrdQJYUeZfc9kapchpeM/
NrUuIWx0nalwpXEZ+FiTsO+wEOYABWfTtmUoIV7UrZ4WwqVPb8Yf/rkMNyi+
JbKtCGEd119OOT3LYF6S3eC0I4Tf1DsVFPQtg/FRwdZ8KmH8r4A60mBgGS6+
knxLxSCM2UiN61eHliG9scLhFKsw5uD8OCs4sue35e9A4X5hvPL0i8eF0WXw
yUhVZ+MWxkXPRu5rjC0Dl+nfyx68wtiG/xBP0h531H671n5QGLfJPEdRe5zH
JWGsyieMZar4Fzn22FSgt1mHXxifUM/caNg7z6givCmWJIwVhhiITnt6Bpm+
gbqYMP722exc059lcOon1xKRFcZU1e7fD0wuwx2bihwHNWG8Q3VVR3N6GeYu
PXzRe0wYZ3vrD2rMLUMtj/F2urUwZji4G8e5vAw7Fzh/l/wnjEmL0dcbNpYh
ymJUjfu2MJ7aorp8mmwFHncVslSGC+PLaja+tbQr0L3+xPnTa2Ecn+Wfx8K6
AqHF52RXsDB+YBRCUORZgdvsyPt+/169BDzd5IRX4A89Ud1qSxg7iypv0Mqu
wPtXFLc8+ESws1NXWqn6CvQ3/ZXrRSL4YKON63H9FXCJ73QJOy+CH13JNy+0
XgFzyu/sIeEiOEv7r9WG8wo8pyvSai8WwT46BC8ezxVAb98O/zcmgqnvLn7Y
H7ACOpPp5Docolh3rJJlOmoF3lamJF4+JoqVAzxCEtNXwFU99UPfLVH8y2JL
SPLTCoSYvNaNfS+KD1u79D6tWwGW7XfmyX9EsV5w9vuO3yvwz6Cka54ohmnn
65MXFlfgoWtAGP8pMcwNIYq2dKsgkFQp8ilGDLOKZU5e5V+FmhGf5C8tYng+
S6BSWXEVbqi935aiF8dF35fK8/VXQSbZVotWRxy73BEd/H1yFWYP3HY0vyuO
12s/CpW5r0JRMpsL5Qdx7Pkh6YnZg1UIVxc+LvxXHP9UHueIjlmFS2PvOPKI
EphoHVIRlL0K1im5OPOEBLbeFxotV7oKyE3CbF+oBL58avLxk6ZV0DLmxb1Y
ArvqpyXFDK7u/Z89ZOdclsAaDSW91gurwKBxwfCruCTeN3VI7QfFGhCNv51t
OSmJy9O2Po9zrIGuW/Qps3BJ7Lgi7lQqsgaXU/rV1LEkHh7OF9dRXoPksaT1
yHlJbHrpBYeP3hp0q/fGWwlK4eTgHqELJ9aAlBJKDLCUwn06t05Qnl+Dq1yf
Hh8MkMJbL67nWHmtQUWyfatgvhSmfFQvYhO4BiLqN7afDUjhRUa/CtroNQgf
pWa4zngI18k+DXBLWQOqZNbtUvVDOGhq579HuWtw/8qzFs8Lh7D0kdor5l/X
QKXXQmkk+hA+J9ofOVe3Bta3GX6ewodwe6RYw5PuNegz/F44MH0I+/pl8Qv8
WYOq47fbXbml8dllx6B3i2vAfV9KlkxPGvvOmtApk61Dz0hvTZKnNO5280wp
ZlqHjduPk/WTpPGl643mhw+uw5Mj8kVr9dJYefvMgRyJdbir3k33YU0aazKI
LR9U2ct38Ym/KSKD7yeL/H2suw6xmM9Vx1IGr5Y4rExbrEOVSekt7vsy+J1d
Fbex4zrwMdh9X3srg4N9LlpnXFkH3q05k6FuGfxR5MjrtdvrcJvv8f52KlnM
aW3OrPd4HfSu8fA2KcjiDzQxEWHP1uHG0pszbY6yOBixiTWnrAPLG9XBgVBZ
HL/zvZM+dx2YnlYmrZTI4tEj7+NR6V589vFEznFZfIm+6da12nVIu31xWoBe
DovbCV+N+7kO2p8kJEqIcpgolX+rbGQdIsImKW1V5LDNgxvxfXPr8HQr8/66
iRzGTm6dS9vrYEj5X2yyixy+WPlKlGbfBnxIJ1oa35XDhm+pIti5NmAk1tum
/6kcDjgy9YNGZAP+JFGbKWXJYcncFwGt8hvwpahR26JMDusv0f+4pr0BF343
CCt1yOFulmNhY0Z78ZyUZP2TcriXUu+XrO0GaDhdbz++K4fNWhhzzc5twNnP
PAl+HPJY+XoC7TH3DTgjsuFwV0IeR8/MjzPf3QCpFFYWTW15fAaYTPIebUCr
9NkvFZbyOPnivIpo1AYY1E+cYr4gjy0vxWd5JG5A9O2sJdJdeXzrCENSVNYG
xKsmB2yEy2OyeR3e4A8bEEnbQh2bKo8Zbx3lsynbANtJFf/tQnkc8pMmY6Vm
A1Z6u+bFauWxL8OzgqvtG/Bff64dV588HuQeP/a5fwOy5soLm/7J46IdgmPf
+AZUcNDSHSdTwIQvQ9vt8xvw3jDIMoxdAZeaBgumbG7AtQgU9VxEAf8tWW3Q
odoEyj9yNedUFHDI1qHtL0yb4GZiv7RqoIBfcUp8oOPahDc/SjgtHRSwKO30
v0OkTSg1tZT1dFXAAq1eeSKSm5A8Iaht56OAQz2qVhcVNmH89HXtjDAFrMlO
ozmtsQlCt0OkNpIUMO2g05LzsU0wUXelsv2ggMe72ol2Zpt784Ct4Uu1Ah7a
cPxWb78J3u/974v3K+AFA6qfX1024ebZYoHERQXMW1F5RubaJrh8Lsrh3qeI
7c/Hn+Tz2QT9Eh/RV0KK+MPh0IYnQZvAdYY+TFJLEQvKxeTffL4JPVmOg2W2
ijjbpoR+KHUTImJ9iCevK2L918tdtXmboCB31mQ3QhFvkY5zy5dvQvoVxgtv
3ynikpqSJs6mTZA287/q2KCIU+KOrN3p34S0rlIn3mlFnPBi+PnpmU2gp8Zo
gEEJ55UnZJZtb8L53ieMb2WUcD/bNelXTFuQa81X7WuhhIlPT4ltCWzBzA3v
qw5eSthX3fl5t/wWcGvEErTjlPAck7+3ou4WqGcG+ElgJXyPqaSRwXYLDEoU
Zw6OK2EBNfqXLpe34LhHjh4X82HcG37jp7rvXnzzdCiv6mH8hnktKCJqC3ja
l8pFnQ/jZ1+e5TpnbsGCz/cBtbDD+EWUkdHH0i04cr724sfiwzgvXua7RNsW
JIp7dC2PHMbj/TZBF8e3YKfyi9QOkzJWs8cx17a24Ipq9n+Naso4g9Ft9gjr
Ngw8VHt4zkUZH9o8E9Unsg1OOVee4HBl3EKKvo/Ut+HP26Neo8XKOMSf/tNV
0224GfjlWPOwMnbh+aHq4rwNrMpdm34MKthuuoJS+OY2FODnL9YPq+CLqxS8
74K3wVl4lUvNUQVHawTd3U3YBs6zm/chSAV3F5uJ8uZtQ9rN1AaGfBVMcnfg
JVRuw+X/pneSe1Rw4pksh/ed26At3cO5RaaKlR+rjYpM7OU3XeTgl1TFExOM
xec3tmFbP36V2lIVFz0Q+XmNYQcm4q7hotuq+JWtn7Yu/w4MVU24Saeo4nQX
/vlB2R34XU9B4Vqjiive7M7oHdmBv9nffNxnVfGOhPDhm5Y7sO4k2KfOqYYt
h0Oq3M7tANu8CKlRUw1Xtiunyt3YAVWHhuOi59Sw+Y5wzZfAHfgvYf8pvWA1
vHr2hCrL8x149YnMUjpXDZfs1C1IZ+wAV9fVgJoONdzyV/nxgcId4BFVOUq1
oYa9NU0fNn/fgfj0009H+NXxu0WWGZuOHciwHHI/p6OOb7DcL3szsgMychX9
gRfUcXXUy/XGhR1Q1yL80g9Rx2/unH5VTrYLDbfjL+S8V8f8NY0591l2YWAs
+kFBqzoWuDspzCSwC7f9J2UcltTxh+g8alfpXYg2TriUxqmB21mFLGM0dkFB
P0cxXFUDBy4jmkjDXbD04A7jcdDA37XpRe1sd6GlbsTL4K4G9p/xff/PZRdW
rPb9O5CggQfJkpKtPHchgyFyOahUAzfdvbz16P4udCx5hMb3aWCjk0PfgkJ3
IYghv8BsSwPbJlPM28Xuwlcrk4sZvJp40ag1eDVjF27V6b1LUNfE/CeNQl0K
dqHgWqL/YXtN3NXitpZUtgueehZj7t6amJij3ZRdtwvFx527jz/XxBvTJYwB
P3fBx6/FobZAEztFDxaJD+9C7Wj8lYlmTWyXVFCbOLMLMbe+M2ZPa+LfLHJ6
Q2u7MKFhpL2PTgtvXD8Us05GQMq81W3Kolq4WmfTKpmGgHbIO5OsjmlhK4lL
nvGMBKS6eD3j7HktnCh8c/4vOwFNTKWNOAVr4fTDgq3hPATEMePiYPFea2+/
usr6mERABStFdIqdWnjmpW1BuzgB1dLGzVPtaGGZqcEPN+QIyFqIia1OXBsf
sqLjvKxKQHZ67K73bbTxZEtL9wdEQC0e2VsigdrYxUVly8KQgCoyWqq+ftTG
iYxafrqWBCQ2HFSrN66NoxuGXEJO7umibZTfeAFrpIi8Ef2PgFhu5Nw6ZAk4
J4TWnNOdgHprD4gEPwHcH/LkhMNtAuIU56Dv+g64LuXt14UHBHShuoU9hIDw
zUbXhwPhBLSxM6CdJoDwb6b6d8Q4Aqr5rEL9ERCmPF+rXJRBQD83ui59dUJ4
qu08MTmfgHjL8aXyAITDbNIu//5KQMk0C1SfMxD+N+O736OOgE52uGq/q0WY
IWGdaNdFQCdEZNhj/yH815E9LHqUgII2VAPvcRzBgWoN9kILBLRuFfrUQeMI
7hMXfkxDIEPEaELHKecjuHnI+cccIxl6wO02mhd0BGtytXyP4CVDwuMdFSfe
H8GCDa4PR8XJ0Pamkrtp+xEcsH2YZvYwGeKwC598sXoEn8qRMco9SoZcNgfl
FXmP4rxuG1MRMzK0MHbIgKh9FPsEvGW3OEmGig94HnJ0Ooors2XjFC6Qoa+R
eb9n/Y/iQNPhoVpPMrRuPnGmLfUo/nqt8i+nLxnysON+R115FLuztH/kDiZD
Ypk6taHDR3GiNCtqi947X/PCBxcyHaxScy8UvSJDfDyBruECOvjEIFecSxYZ
eqgdN0+npYPnvYYvaheQIdE32ce67HUwZXDvWuMXMkR+uuDCipcOjuQmM2L/
QYYO2n60vfBUB78UO3GKqYkMub3M3S+Zo4O5PvTIlv8kQzvE9BTtKh3MVhry
XWSADNXMPd1MH9DBgUev8BwdJ0NNNLeFTq/pYE+9u/Ics2SI8bw99wUWXdxV
XUyXsEKGnuxT7K8Q08XFVcJpPdtkCK1RuV/T1sWsOuXbDZTkSO5QW5O7tS4e
1QzivrmPHJ1ZfrHvP1ddzCjvtGvIRo6+ptgqLQXq4gsJYsVfucmRlTyrIV+K
Ll7w/a3TSiJHB9O/Gw6W6+L33YGpgZJ7vOGhrDWkixOyeTq6FMmRsSI3sxLV
MVw8n9Rdp0WOisw+t3+XOobp8jnyThuQIwszm8BZ62M4aPyWQ6QVORJQ+Ev8
6HcMqz1v6HJ2JEeia7ey2XKP4YOfmcU7Xff8pZDx7xs8hmVPHD0+fosctUgH
+iay6+Ebl1yOxD4iR7KJhPpaQz3cvehFP/WMHFHM3aSIDNDDvss3X/elkSNa
0XGxua962NLtwn63D+TICCxU/27q4VNn9G2TKslRsUahkq+mPn72g/PKtQ5y
5MLLzpdzXx/vpnVaDY2RI83fl+ev/9DHsesPmBZW9/wHluZ3Mhrg81WkhFR6
ChTFSHum1c4An6PP3Vrgo0Asd0xWzr82wNE/pORG5CnQ59rQOzErBnhu9YXy
dT0K9HLrx19HQ0Psl7LInHaSAhWxretVvjLEOhXapZ4eFGhrn2gEXjHESg63
NYYfU6Bsbk9lazMjLDSwmnDpFQVquUKed+e1Ee6uYprz+0iBAqm6NhW3jLAd
a5mSeB0FKhyZ5fYzP44Ty6hcHQco0A0aE3rHtOP4bdNYlOgSBcq79q+hZek4
9j9yJuceLSVyF+g426lrjPkOuH9yOUiJvrLv1FyJNsaBZlwff8lSoscmV8hf
DBrj/L/2qcNHKdFgAz+T9SETnDWhGHDbhhIVPN0/nXbTBDsbvrZKvkCJ2BLM
Ex6Vm+BJhnxO29uU6OVUM/8WtSkmKlrXJz6hRNT+0dcpTUyxcmmEx414SjR7
Mj4u6akpZss6R/frLSW64DMe3dhhij+vNEe1fqFEDsPejuGcZlgkq4PRrp4S
9YYZbw+dMMMnSz3uuPVSom7f/67WPDfDJxQzuzkmKZFzYUXukXYzzMfoJX58
lRIVcikMv6Yxx1mGvy6xUlEhn/V0mxVhc7w10ZNwgY0K0WyrKUQcMcdcU9e+
mQhQ7c33eW+P03u6WXJXpRQV+u9KnWjiLXOcfeDiQK0KFVLu/qHNFm2ODx6t
6XbUoULn0r73nXhvjtk0s5bYzaiQP30W33y9OUaes+dunKRC0YzXyIamzHHm
aKKo/0Uq9DTnYJAokwXWj/6gqX6TCvmNv8v/pmCBib5yr5MCqZBLmZBvgb0F
VszgOJcfTYUOy/vOrAVYYB9ap+vuaVRoE77uPntvgcmy2Lp6PlCh938HPz7q
s8BfHxwKn/tOhU7ITzI0MVjij/HvXn74SYUm2H/SuIIlHp59viI4SYWuR2Vm
nL5hiY39xjK1t6hQcs7pPxlvLXGrcUIONQs1oj+3VqszZolzbD5T3hWmRqcL
vc1VSFb4axzkxatRo6y0X7f9HK0w7cFDuRfNqFGftLCeQLIVDum5Tzb8316+
tUUh+4gVNmpXz6S5R40EOM9Vnxa3xtp0p5N7nlEj0Rv2Ptvu1tj17p9p23d7
7KbUsVBijTskukIDqqgRE+VSkxa1Db7BIetnP0iN5g6/vPLb2gabavyr6tug
RsUUpHcdGTbY6RXHWQZOGuRzNTySuG6Dc7RSTSfkaZDY9UHOCtMTWI77RcQ1
Uxp0+Ics/0jaCXwoPasXX6ZBZBzPA98tn8A9FqF/lh7SoOeOLEYkXVusIXj0
A0MyDdrMTHHTjrDFJ/bXIdoSGkScMVig7LLFglLCEeMtNOiALHXnDV47nHnO
/NWbcRrUcLWHM/yUHe4vM3Wz2KZBVtkVn8zj7HC9psDuL1ZaFDv07VNphx2+
3P/N3EiEFuVxdnG27bPHFcnK5xJUaNFjA/LOSLDH9Y/uKbcZ0CJxb52FNXd7
HBIRUzdlR4scU+Pc6BPt8cxnf4HJC7Tof+6UPCk=
      "]]}}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesOrigin->{0, 0},
  LabelStyle->Directive[Bold, Larger],
  PlotRange->{-6, 3},
  PlotRangeClipping->True,
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02]}]], "Output",
 CellChangeTimes->{3.531036661795157*^9, 3.531508363363984*^9, 
  3.531514922726453*^9, 3.531515241312296*^9, 3.531515370906064*^9, 
  3.5315155112877007`*^9, 3.5315166634204693`*^9, 3.531525596785385*^9, 
  3.5315408557859106`*^9, 3.531770776287066*^9, 3.531772954968772*^9, 
  3.5317731185868187`*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{
   RowBox[{"Transpose", "[", 
    RowBox[{"{", 
     RowBox[{"intactShift", ",", "weight"}], "}"}], "]"}], "/.", 
   RowBox[{"{", 
    RowBox[{"dtt", "\[Rule]", "0.1"}], "}"}]}], 
  "\[IndentingNewLine]"}]], "Input",
 CellChangeTimes->{
  3.531036880625355*^9, {3.531036997178349*^9, 3.531036997737303*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"5.1819930291722525`", ",", "0.9999973647517686`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"4.387695483663862`", ",", "0.9999683784733454`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"3.5552099226861973`", ",", "0.9996065641257783`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"3.1052841255714547`", ",", "0.9986695778107049`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"2.8647925274385218`", ",", "0.9976526746120585`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"2.771008169232927`", ",", "0.9971260129242295`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"2.6875338000421922`", ",", "0.9965904307592662`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"2.4761648892198416`", ",", "0.994943843087152`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"1.9588296987175267`", ",", "0.9892512188481398`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"1.5550719757530254`", ",", "0.9835454593199466`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"1.199465673315776`", ",", "0.9778955681258559`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.8729033802770191`", ",", "0.9724689429582599`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.2717719007896141`", ",", "0.9623045740396511`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.28593689588577204`"}], ",", "0.9530145460161916`"}], 
    "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.5532350448206019`"}], ",", "0.9487885651376045`"}], 
    "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.8146857881632042`"}], ",", "0.9447805619485016`"}], 
    "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "1.3236243964997019`"}], ",", "0.9371420021779518`"}], 
    "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "1.8169858275502073`"}], ",", "0.9302741146989671`"}], 
    "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "2.298249090112791`"}], ",", "0.9239359044240254`"}], "}"}],
    ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "2.769623623696729`"}], ",", "0.9177444279785092`"}], "}"}],
    ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "3.002093353016352`"}], ",", "0.915320507381121`"}], "}"}], 
   ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "4.13851238972977`"}], ",", "0.902670892735392`"}], "}"}], 
   ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "5.24114070186941`"}], ",", "0.8919313027480436`"}], "}"}], 
   ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "6.318125141026311`"}], ",", "0.8824079084766253`"}], "}"}],
    ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "7.375202108144498`"}], ",", "0.8740157889616323`"}], "}"}],
    ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "9.439607089062983`"}], ",", "0.8588261852139659`"}], "}"}],
    ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "11.454153374428845`"}], ",", "0.8459017687069398`"}], 
    "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "13.430372314051718`"}], ",", "0.8347086118228795`"}], 
    "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "17.28482183124144`"}], ",", "0.8148705299492451`"}], "}"}],
    ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "21.05149589633441`"}], ",", "0.7991186371061679`"}], "}"}],
    ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "30.15390191630583`"}], ",", "0.7670182674878568`"}], "}"}],
    ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "38.93959320125627`"}], ",", "0.742275560302424`"}], "}"}], 
   ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "55.85475808753388`"}], ",", "0.7048722162244627`"}], 
    "}"}]}], "}"}]], "Output",
 CellChangeTimes->{3.531036881959537*^9, 3.5310369986243877`*^9, 
  3.531508363410987*^9, 3.5315149227740173`*^9, 3.531515241363888*^9, 
  3.531515370956284*^9, 3.531515511329571*^9, 3.531516663470986*^9, 
  3.531525596975181*^9, 3.5315408558327107`*^9, 3.5317707763404016`*^9, 
  3.531772955132238*^9, 3.531773118682097*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"weight", "/.", 
  RowBox[{"{", 
   RowBox[{"dtt", "\[Rule]", "0.001"}], "}"}]}]], "Input",
 CellChangeTimes->{{3.5310369085528927`*^9, 3.531036910711178*^9}, {
  3.5310370032331867`*^9, 3.5310370325050163`*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
  "0.9999736482989192`", ",", "0.9996838971813016`", ",", 
   "0.996082972386377`", ",", "0.9868917354933777`", ",", 
   "0.9771294183305255`", ",", "0.9721579972448405`", ",", 
   "0.9671601140506055`", ",", "0.952148102527909`", ",", 
   "0.9040121672212047`", ",", "0.8608586243087645`", ",", 
   "0.8223447670629989`", ",", "0.7887131990467791`", ",", 
   "0.7330530267941241`", ",", "0.6889873517555937`", ",", 
   "0.6707264877066863`", ",", "0.6543129276644456`", ",", 
   "0.6252180207977502`", ",", "0.6012239449320068`", ",", 
   "0.580672889195874`", ",", "0.56190939790978`", ",", "0.5548870094436634`",
    ",", "0.5208639108394415`", ",", "0.4949958721094065`", ",", 
   "0.4740186846412738`", ",", "0.45686579500381164`", ",", 
   "0.42855667949627274`", ",", "0.40684843689976424`", ",", 
   "0.3895562870336412`", ",", "0.3618263974018139`", ",", 
   "0.3420612390981767`", ",", "0.30673537253663863`", ",", 
   "0.2831526556191243`", ",", "0.25214857772947646`"}], "}"}]], "Output",
 CellChangeTimes->{
  3.531036911406507*^9, {3.531037010003413*^9, 3.531037033239193*^9}, 
   3.53150836346373*^9, 3.531514922825461*^9, 3.531515241412273*^9, 
   3.531515371004981*^9, 3.531515511377038*^9, 3.531516663519783*^9, 
   3.531525597141027*^9, 3.5315408558483105`*^9, 3.531770776536757*^9, 
   3.531772955199111*^9, 3.531773118715872*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData["weight"], "Input",
 CellChangeTimes->{{3.531037017741809*^9, 3.53103701852711*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["1.250012109375`*^-6", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.000015000000000000002`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.00018671484375`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.0006321257812500001`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.0011167101562500003`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.0013681657031249998`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.0016242210937499996`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.0024135937500000004`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.005167968749999999`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.007968750000000002`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.010782421875000002`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.0135234375`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.018761718749999996`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.02367187499999999`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.025945312499999994`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.028124999999999997`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.03234375`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.03621093749999999`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.03984375`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.043453124999999995`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.0448828125`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.052500000000000005`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.059179687499999994`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.0652734375`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.07078125`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.08109375`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.090234375`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.09843750000000001`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.113671875`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.12644531250000002`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.1545234375`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.17825624999999998`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]], ",", 
   FractionBox["1", 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{"1", "+", 
       FractionBox["0.21813281249999997`", 
        SqrtBox["dtt"]]}], ")"}], 
     RowBox[{"2", "/", "3"}]]]}], "}"}]], "Output",
 CellChangeTimes->{3.5310370191318607`*^9, 3.531508363566214*^9, 
  3.531514922924746*^9, 3.5315152414631157`*^9, 3.531515371058187*^9, 
  3.531515511427679*^9, 3.531516663568763*^9, 3.5315255972458067`*^9, 
  3.531540855879511*^9, 3.531770776581045*^9, 3.5317729552306967`*^9, 
  3.531773118769014*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"alpha2", "/.", 
  RowBox[{"{", 
   RowBox[{"dtt", "\[Rule]", "0.01"}], "}"}]}]], "Input",
 CellChangeTimes->{{3.531037425517218*^9, 3.531037432986726*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
  "0.00001250012109375`", ",", "0.00015000000000000001`", ",", 
   "0.0018671484375`", ",", "0.006321257812500002`", ",", 
   "0.011167101562500004`", ",", "0.013681657031249999`", ",", 
   "0.016242210937499998`", ",", "0.024135937500000003`", ",", 
   "0.05167968749999999`", ",", "0.07968750000000002`", ",", 
   "0.10782421875000002`", ",", "0.13523437500000002`", ",", 
   "0.18761718749999995`", ",", "0.23671874999999992`", ",", 
   "0.25945312499999995`", ",", "0.28125`", ",", "0.3234375`", ",", 
   "0.3621093749999999`", ",", "0.3984375`", ",", "0.4345312499999999`", ",", 
   "0.448828125`", ",", "0.525`", ",", "0.591796875`", ",", 
   "0.6527343750000001`", ",", "0.7078125000000001`", ",", 
   "0.8109375000000001`", ",", "0.90234375`", ",", "0.9843750000000001`", ",",
    "1.13671875`", ",", "1.2644531250000002`", ",", "1.545234375`", ",", 
   "1.7825624999999998`", ",", "2.181328125`"}], "}"}]], "Output",
 CellChangeTimes->{3.5310374335445747`*^9, 3.5315083636632547`*^9, 
  3.531514923026429*^9, 3.5315152415123167`*^9, 3.531515371103999*^9, 
  3.531515511474238*^9, 3.531516663619403*^9, 3.531525597343157*^9, 
  3.531540855910711*^9, 3.531770776622108*^9, 3.531772955315576*^9, 
  3.531773118817896*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData["alpha2"], "Input",
 CellChangeTimes->{{3.531037436650854*^9, 3.531037441650672*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   FractionBox["1.250012109375`*^-6", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.000015000000000000002`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.00018671484375`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.0006321257812500001`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.0011167101562500003`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.0013681657031249998`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.0016242210937499996`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.0024135937500000004`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.005167968749999999`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.007968750000000002`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.010782421875000002`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.0135234375`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.018761718749999996`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.02367187499999999`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.025945312499999994`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.028124999999999997`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.03234375`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.03621093749999999`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.03984375`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.043453124999999995`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.0448828125`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.052500000000000005`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.059179687499999994`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.0652734375`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.07078125`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.08109375`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.090234375`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.09843750000000001`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.113671875`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.12644531250000002`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.1545234375`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.17825624999999998`", 
    SqrtBox["dtt"]], ",", 
   FractionBox["0.21813281249999997`", 
    SqrtBox["dtt"]]}], "}"}]], "Output",
 CellChangeTimes->{3.531037442004776*^9, 3.531508363747335*^9, 
  3.53151492320357*^9, 3.5315152415592537`*^9, 3.531515371160296*^9, 
  3.531515511531331*^9, 3.53151666366787*^9, 3.531525597388034*^9, 
  3.531540855926311*^9, 3.531770776661017*^9, 3.531772955361145*^9, 
  3.531773118867627*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData["dtL"], "Input",
 CellChangeTimes->{{3.531037457679674*^9, 3.531037459034738*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
  "0.00730300280706505`", ",", "0.025298221281347035`", ",", 
   "0.08925525194631406`", ",", "0.1642275859896869`", ",", 
   "0.2182803243537997`", ",", "0.24160933342898822`", ",", 
   "0.26324912155598923`", ",", "0.3209049703572695`", ",", 
   "0.4695742752749558`", ",", "0.5830951894845301`", ",", 
   "0.6782698577999763`", ",", "0.7596051605933177`", ",", 
   "0.8947066558375432`", ",", "1.004987562112089`", ",", 
   "1.0521406750050109`", ",", "1.0954451150103321`", ",", 
   "1.174734012447073`", ",", "1.2429802894656052`", ",", 
   "1.3038404810405297`", ",", "1.361616686149226`", ",", 
   "1.3838352503098048`", ",", "1.4966629547095767`", ",", 
   "1.5890248582070703`", ",", "1.6688319268278637`", ",", 
   "1.7378147196982767`", ",", "1.8601075237738274`", ",", 
   "1.9621416870348585`", ",", "2.04939015319192`", ",", "2.202271554554524`",
    ",", "2.322713929867387`", ",", "2.5676837811537463`", ",", 
   "2.75782523014059`", ",", "3.050737615725089`"}], "}"}]], "Output",
 CellChangeTimes->{3.531037459816687*^9, 3.531508363830834*^9, 
  3.531514923245051*^9, 3.531515241612598*^9, 3.53151537123433*^9, 
  3.531515511574603*^9, 3.531516663719369*^9, 3.531525597436647*^9, 
  3.531540855957511*^9, 3.5317707767063704`*^9, 3.531772955432246*^9, 
  3.531773118916609*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"dtL", "*", "weight"}], "/.", 
  RowBox[{"{", 
   RowBox[{"dtt", "\[Rule]", ".001"}], "}"}]}]], "Input",
 CellChangeTimes->{{3.531049593583115*^9, 3.531049593854065*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
  "0.007302810360518086`", ",", "0.025290224442291946`", ",", 
   "0.08890563665977948`", ",", "0.16207484735325003`", ",", 
   "0.21328812636882674`", ",", "0.23488244570198608`", ",", 
   "0.25460405042781226`", ",", "0.3055490586174491`", ",", 
   "0.4245008582626394`", ",", "0.501962522660711`", ",", 
   "0.5577716682183749`", ",", "0.599110616223998`", ",", 
   "0.6558674221545597`", ",", "0.6924237189669183`", ",", 
   "0.705698619519453`", ",", "0.7167639002981258`", ",", 
   "0.7344648742259587`", ",", "0.747309513105239`", ",", 
   "0.7571048191763426`", ",", "0.7651052122980215`", ",", 
   "0.767872203607131`", ",", "0.779557719798544`", ",", 
   "0.7865607454917347`", ",", "0.7910575148423065`", ",", 
   "0.7939481034842792`", ",", "0.7971615038945457`", ",", 
   "0.7982942783459985`", ",", "0.7983528187607495`", ",", 
   "0.7968399826849557`", ",", "0.7945104049210339`", ",", 
   "0.7875994411684792`", ",", "0.7808855376477307`", ",", 
   "0.7692391508308953`"}], "}"}]], "Output",
 CellChangeTimes->{3.531049594582814*^9, 3.531508363912854*^9, 
  3.531514923291485*^9, 3.531515241660389*^9, 3.531515371271838*^9, 
  3.531515511625086*^9, 3.531516663850214*^9, 3.531525597517268*^9, 
  3.5315408559887114`*^9, 3.53177077675611*^9, 3.531772955512105*^9, 
  3.531773118965438*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{
   RowBox[{"Transpose", "[", 
    RowBox[{"{", 
     RowBox[{"intactShift", ",", 
      RowBox[{"dtL", "*", "weight"}]}], "}"}], "]"}], "/.", 
   RowBox[{"{", 
    RowBox[{"dtt", "\[Rule]", ".001"}], "}"}]}], 
  "\[IndentingNewLine]"}]], "Input",
 CellChangeTimes->{3.5315141765171757`*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"5.181969314919197`", ",", "0.007302810360518086`"}], "}"}], ",", 
   
   RowBox[{"{", 
    RowBox[{"4.387411262143632`", ",", "0.025290224442291946`"}], "}"}], ",", 
   
   RowBox[{"{", 
    RowBox[{"3.5517178003085723`", ",", "0.08890563665977948`"}], "}"}], ",", 
   
   RowBox[{"{", 
    RowBox[{"3.09381810473455`", ",", "0.16207484735325003`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"2.8451710753212387`", ",", "0.21328812636882674`"}], "}"}], ",", 
   
   RowBox[{"{", 
    RowBox[{"2.747355430770646`", ",", "0.23488244570198608`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"2.6599113678031965`", ",", "0.25460405042781226`"}], "}"}], ",", 
   
   RowBox[{"{", 
    RowBox[{"2.4371265751837785`", ",", "0.3055490586174491`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"1.8887248269413401`", ",", "0.4245008582626394`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"1.4655924722529934`", ",", "0.501962522660711`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"1.1010011694807058`", ",", "0.5577716682183749`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.7748602454057246`", ",", "0.599110616223998`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0.1969002521938374`", ",", "0.6558674221545597`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.315171299734566`"}], ",", "0.6924237189669183`"}], "}"}],
    ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.5532350448206019`"}], ",", "0.705698619519453`"}], "}"}],
    ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.7820653652189693`"}], ",", "0.7167639002981258`"}], 
    "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "1.2172122016153653`"}], ",", "0.7344648742259587`"}], 
    "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "1.627864959870411`"}], ",", "0.747309513105239`"}], "}"}], 
   ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "2.0193734426868337`"}], ",", "0.7571048191763426`"}], 
    "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "2.3945331022328835`"}], ",", "0.7651052122980215`"}], 
    "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "2.5784604378609948`"}], ",", "0.767872203607131`"}], "}"}],
    ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "3.453369634548468`"}], ",", "0.779557719798544`"}], "}"}], 
   ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "4.277693835806066`"}], ",", "0.7865607454917347`"}], "}"}],
    ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "5.063747409983918`"}], ",", "0.7910575148423065`"}], "}"}],
    ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "5.821384308756266`"}], ",", "0.7939481034842792`"}], "}"}],
    ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "7.262916296174277`"}], ",", "0.7971615038945457`"}], "}"}],
    ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "8.63532874148657`"}], ",", "0.7982942783459985`"}], "}"}], 
   ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "9.956618966255594`"}], ",", "0.7983528187607495`"}], "}"}],
    ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "12.465914274954171`"}], ",", "0.7968399826849557`"}], 
    "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "14.870009061960795`"}], ",", "0.7945104049210339`"}], 
    "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "20.495136832018847`"}], ",", "0.7875994411684792`"}], 
    "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "25.76226316848915`"}], ",", "0.7808855376477307`"}], "}"}],
    ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "35.60939593553417`"}], ",", "0.7692391508308953`"}], 
    "}"}]}], "}"}]], "Output",
 CellChangeTimes->{3.5315141794052896`*^9, 3.5315149233397503`*^9, 
  3.5315152417423477`*^9, 3.5315153713775473`*^9, 3.531515511674987*^9, 
  3.531516663901389*^9, 3.531525597554302*^9, 3.531540856035511*^9, 
  3.531770776826126*^9, 3.531772955713138*^9, 3.5317731190478563`*^9}]
}, Open  ]],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.5315410118004913`*^9, 3.5315410175610137`*^9}}],

Cell[BoxData[
 RowBox[{
  RowBox[{
   RowBox[{"EN", "[", "x_", "]"}], ":=", 
   RowBox[{
    RowBox[{"(", 
     RowBox[{
      RowBox[{
       RowBox[{"(", 
        RowBox[{"x", "-", "xmu"}], ")"}], "^", "2"}], "+", "xdt2"}], ")"}], 
    "^", 
    RowBox[{"(", 
     RowBox[{"1", "/", "2"}], ")"}]}]}], ";", 
  RowBox[{
   RowBox[{"N01", "[", "x_", "]"}], ":=", 
   RowBox[{
    RowBox[{"(", 
     RowBox[{
      RowBox[{"EN", "[", "x", "]"}], "-", 
      RowBox[{"(", 
       RowBox[{"x", "-", "xmu"}], ")"}]}], ")"}], 
    RowBox[{
     RowBox[{
      RowBox[{"(", 
       RowBox[{"xdt2", "^", 
        RowBox[{"(", 
         RowBox[{"1", "/", "2"}], ")"}]}], ")"}], "/", 
      RowBox[{"(", 
       RowBox[{"2", 
        RowBox[{"EN", "[", "x", "]"}]}], ")"}]}], "/", 
     RowBox[{"(", 
      RowBox[{"2", 
       RowBox[{"(", 
        RowBox[{
         RowBox[{"EN", "[", "x", "]"}], "+", 
         RowBox[{"(", 
          RowBox[{"x", "-", "xmu"}], ")"}], "+", "\[Eta]"}], ")"}]}], 
      ")"}]}]}]}], ";", 
  RowBox[{
   RowBox[{"N02", "[", "x_", "]"}], ":=", 
   RowBox[{
    RowBox[{"(", 
     RowBox[{"xdt2", "^", 
      RowBox[{"(", 
       RowBox[{"3", "/", "2"}], ")"}]}], ")"}], "/", 
    RowBox[{"(", 
     RowBox[{"4", 
      RowBox[{
       RowBox[{"EN", "[", "x", "]"}], "^", "3"}]}], ")"}]}]}], ";"}]], "Input",\

 CellChangeTimes->{{3.5315409407336855`*^9, 3.5315409697227664`*^9}, {
  3.5315410093948793`*^9, 3.531541088079296*^9}, {3.5315412903165264`*^9, 
  3.531541351204933*^9}, {3.531541493749741*^9, 3.5315415458493648`*^9}, {
  3.5315421830788717`*^9, 3.531542248848634*^9}, {3.531542435222294*^9, 
  3.531542442784726*^9}}],

Cell[BoxData[{
 RowBox[{
  RowBox[{"length", "=", 
   RowBox[{"Length", "[", "muDtL", "]"}]}], ";", 
  RowBox[{"NList1", "=", 
   RowBox[{"{", "}"}]}], ";", 
  RowBox[{"NList2", "=", 
   RowBox[{"{", "}"}]}], ";"}], "\[IndentingNewLine]", 
 RowBox[{"For", "[", 
  RowBox[{
   RowBox[{"i", "=", "1"}], ",", 
   RowBox[{"i", "\[LessEqual]", "length"}], ",", 
   RowBox[{"i", "++"}], ",", "\[IndentingNewLine]", 
   RowBox[{
    RowBox[{"n01", "=", " ", 
     RowBox[{"NIntegrate", "[", 
      RowBox[{
       RowBox[{
        RowBox[{"N01", "[", "x", "]"}], "/.", 
        RowBox[{"{", 
         RowBox[{
          RowBox[{"xmu", "\[Rule]", 
           RowBox[{"muDtL", "[", 
            RowBox[{"[", 
             RowBox[{"i", ",", "1"}], "]"}], "]"}]}], ",", 
          RowBox[{"xdt2", "\[Rule]", 
           RowBox[{"muDtL", "[", 
            RowBox[{"[", 
             RowBox[{"i", ",", "2"}], "]"}], "]"}]}], ",", 
          RowBox[{"\[Eta]", "\[Rule]", "100"}]}], "}"}]}], ",", 
       RowBox[{"{", 
        RowBox[{"x", ",", "0", ",", "Infinity"}], "}"}]}], "]"}]}], ";", 
    RowBox[{"NList1", "=", 
     RowBox[{"Append", "[", 
      RowBox[{"NList1", ",", "n01"}], "]"}]}], ";", "\[IndentingNewLine]", 
    RowBox[{"n02", "=", " ", 
     RowBox[{"NIntegrate", "[", 
      RowBox[{
       RowBox[{
        RowBox[{"N02", "[", "x", "]"}], "/.", 
        RowBox[{"{", 
         RowBox[{
          RowBox[{"xmu", "\[Rule]", 
           RowBox[{"muDtL", "[", 
            RowBox[{"[", 
             RowBox[{"i", ",", "1"}], "]"}], "]"}]}], ",", 
          RowBox[{"xdt2", "\[Rule]", 
           RowBox[{"muDtL", "[", 
            RowBox[{"[", 
             RowBox[{"i", ",", "2"}], "]"}], "]"}]}], ",", 
          RowBox[{"\[Eta]", "\[Rule]", "100"}]}], "}"}]}], ",", 
       RowBox[{"{", 
        RowBox[{"x", ",", "0", ",", "Infinity"}], "}"}]}], "]"}]}], ";", 
    RowBox[{"NList2", "=", 
     RowBox[{"Append", "[", 
      RowBox[{"NList2", ",", "n02"}], "]"}]}]}]}], "]"}]}], "Input",
 CellChangeTimes->{{3.531542258770201*^9, 3.531542260098277*^9}, {
  3.531542299432527*^9, 3.531542331232346*^9}, {3.531542448423049*^9, 
  3.531542478723782*^9}, {3.5315425330698905`*^9, 3.531542549517831*^9}, {
  3.5315425845698357`*^9, 3.531542706938835*^9}, {3.531542737434579*^9, 
  3.531542740497754*^9}}],

Cell[CellGroupData[{

Cell[BoxData["NList1"], "Input",
 CellChangeTimes->{{3.531542488903364*^9, 3.5315424916905236`*^9}, {
  3.531542713000182*^9, 3.53154271349221*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
  "0.000036511702089665244`", ",", "0.00012637974990901987`", ",", 
   "0.00044252952606356797`", ",", "0.0008011871594782797`", ",", 
   "0.0010481809463406325`", ",", "0.0011511653536529411`", ",", 
   "0.0012445465876373897`", ",", "0.0014824039486272672`", ",", 
   "0.002010875465719945`", ",", "0.0023179334953904243`", ",", 
   "0.0025077530662234084`", ",", "0.002616169353890599`", ",", 
   "0.002691323443594597`", ",", "0.0026692311319795555`", ",", 
   "0.002634581899319018`", ",", "0.0025928711369019317`", ",", 
   "0.0025091919603882564`", ",", "0.0024168619278905246`", ",", 
   "0.0023288476305494844`", ",", "0.0022587795003615775`", ",", 
   "0.002206211445104795`", ",", "0.0020347898736823764`", ",", 
   "0.0018880962233113327`", ",", "0.0017672419551416933`", ",", 
   "0.001661321334207819`", ",", "0.001501568349967752`", ",", 
   "0.00137435384871864`", ",", "0.001268487036275352`", ",", 
   "0.0011136940083138198`", ",", "0.0009879378139361172`", ",", 
   "0.0007823187364487058`", ",", "0.0006496109956212416`", ",", 
   "0.00048492739535500065`"}], "}"}]], "Output",
 CellChangeTimes->{3.5315424922915583`*^9, 3.531542714037241*^9, 
  3.5315427457600555`*^9, 3.531770777320323*^9, 3.531772956258177*^9, 
  3.5317731195649233`*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData["NList2"], "Input",
 CellChangeTimes->{{3.531542718590502*^9, 3.5315427211936502`*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
  "0.0036514527085862985`", ",", "0.012647083704002266`", ",", 
   "0.0445374889448732`", ",", "0.08153770526354688`", ",", 
   "0.10775432183445391`", ",", "0.1189031414141383`", ",", 
   "0.1291365126528788`", ",", "0.1557925724858027`", ",", 
   "0.21863513506313628`", ",", "0.2577790683279149`", ",", 
   "0.28191760242426556`", ",", "0.2943120279895086`", ",", 
   "0.2947857291886278`", ",", "0.2761240396617485`", ",", 
   "0.2630351687512792`", ",", "0.24896479886595788`", ",", "0.221015681864`",
    ",", "0.19477604134523313`", ",", "0.17177571427097799`", ",", 
   "0.15270157828533967`", ",", "0.1433281715766782`", ",", 
   "0.10929614434000334`", ",", "0.08622037253487494`", ",", 
   "0.07020872967955655`", ",", "0.05851890489720467`", ",", 
   "0.043362776887233404`", ",", "0.03390223766231455`", ",", 
   "0.027502586931389312`", ",", "0.019745914671390533`", ",", 
   "0.015057217032483158`", ",", "0.00920308864888536`", ",", 
   "0.006462645219963712`", ",", "0.003913178144383031`"}], "}"}]], "Output",
 CellChangeTimes->{{3.5315427217636833`*^9, 3.531542751272371*^9}, 
   3.531770777369523*^9, 3.531772956295656*^9, 3.53177311964974*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"NList1", "/", "NList2"}]], "Input",
 CellChangeTimes->{{3.531542778096905*^9, 3.531542784091248*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
  "0.009999226336358923`", ",", "0.00999279777590355`", ",", 
   "0.009936113071199728`", ",", "0.00982597139432212`", ",", 
   "0.009727507245147747`", ",", "0.009681538603285892`", ",", 
   "0.009637449254826578`", ",", "0.009515241484072406`", ",", 
   "0.00919740308500395`", ",", "0.008991938369650065`", ",", 
   "0.008895340498992403`", ",", "0.008889101039335904`", ",", 
   "0.00912976164416857`", ",", "0.00966678285327623`", ",", 
   "0.010016082304987232`", ",", "0.010414609409492978`", ",", 
   "0.011353004181541585`", ",", "0.012408414870732118`", ",", 
   "0.013557490594250727`", ",", "0.01479211626837805`", ",", 
   "0.0153927271996525`", ",", "0.018617215510846028`", ",", 
   "0.02189849298723018`", ",", "0.025171256668617387`", ",", 
   "0.028389480922893638`", ",", "0.03462804870344534`", ",", 
   "0.040538735596392816`", ",", "0.046122462568333876`", ",", 
   "0.05640123675442744`", ",", "0.06561224506526168`", ",", 
   "0.08500610678605784`", ",", "0.10051781793847091`", ",", 
   "0.12392162520151671`"}], "}"}]], "Output",
 CellChangeTimes->{3.531542785279316*^9, 3.531770777487108*^9, 
  3.531772956344981*^9, 3.531773119733*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"N01", "[", "x", "]"}]], "Input",
 CellChangeTimes->{{3.531542500574032*^9, 3.531542505019286*^9}}],

Cell[BoxData[
 FractionBox[
  RowBox[{
   SqrtBox["xdt2"], " ", 
   RowBox[{"(", 
    RowBox[{
     RowBox[{"-", "x"}], "+", 
     SqrtBox[
      RowBox[{"xdt2", "+", 
       SuperscriptBox[
        RowBox[{"(", 
         RowBox[{"x", "-", "xmu"}], ")"}], "2"]}]], "+", "xmu"}], ")"}]}], 
  RowBox[{"4", " ", 
   SqrtBox[
    RowBox[{"xdt2", "+", 
     SuperscriptBox[
      RowBox[{"(", 
       RowBox[{"x", "-", "xmu"}], ")"}], "2"]}]], " ", 
   RowBox[{"(", 
    RowBox[{"x", "+", 
     SqrtBox[
      RowBox[{"xdt2", "+", 
       SuperscriptBox[
        RowBox[{"(", 
         RowBox[{"x", "-", "xmu"}], ")"}], "2"]}]], "-", "xmu", "+", 
     "\[Eta]"}], ")"}]}]]], "Output",
 CellChangeTimes->{3.53154250631536*^9, 3.531770777536819*^9, 
  3.531772956394939*^9, 3.531773119767439*^9}]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"NSolInt", "[", 
   RowBox[{"f_", ",", "xt_", ",", "xt0_", ",", "xt1_", ",", "rhs_"}], "]"}], ":=", 
  RowBox[{"Module", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{
      RowBox[{"tmp0", "=", "xt0"}], ",", 
      RowBox[{"tmp2", "=", "xt1"}], ",", "tmp1", ",", 
      RowBox[{"val0", "=", 
       RowBox[{"(", 
        RowBox[{
         RowBox[{"Print", "[", 
          RowBox[{"f", "/.", 
           RowBox[{"{", 
            RowBox[{"xt", "\[Rule]", "xt0"}], "}"}]}], "]"}], ";", 
         RowBox[{
          RowBox[{"NIntegrate", "[", 
           RowBox[{
            RowBox[{"f", "/.", 
             RowBox[{"{", 
              RowBox[{"xt", "\[Rule]", "xt0"}], "}"}]}], ",", 
            RowBox[{"{", 
             RowBox[{"x", ",", "0", ",", "Infinity"}], "}"}]}], "]"}], "-", 
          "rhs"}]}], ")"}]}], ",", "val1", ",", 
      RowBox[{"val2", "=", 
       RowBox[{
        RowBox[{"NIntegrate", "[", 
         RowBox[{
          RowBox[{"f", "/.", 
           RowBox[{"{", 
            RowBox[{"xt", "\[Rule]", "xt1"}], "}"}]}], ",", 
          RowBox[{"{", 
           RowBox[{"x", ",", "0", ",", "Infinity"}], "}"}]}], "]"}], "-", 
        "rhs"}]}]}], "}"}], ",", 
    RowBox[{
     RowBox[{"Print", "[", 
      RowBox[{"{", 
       RowBox[{"val0", ",", "val2"}], "}"}], "]"}], ";", 
     RowBox[{"While", "[", 
      RowBox[{
       RowBox[{
        RowBox[{"Abs", "[", "val0", "]"}], ">", "0.000001"}], ",", 
       RowBox[{
        RowBox[{"tmp1", "=", 
         RowBox[{
          RowBox[{"(", 
           RowBox[{"tmp0", "+", "tmp2"}], ")"}], "/", "2"}]}], ";", 
        RowBox[{"val1", "=", 
         RowBox[{
          RowBox[{"NIntegrate", "[", 
           RowBox[{
            RowBox[{"f", "/.", 
             RowBox[{"{", 
              RowBox[{"xt", "\[Rule]", "tmp1"}], "}"}]}], ",", 
            RowBox[{"{", 
             RowBox[{"x", ",", "0", ",", "Infinity"}], "}"}]}], "]"}], "-", 
          "rhs"}]}], ";", 
        RowBox[{"Print", "[", 
         RowBox[{"{", 
          RowBox[{"tmp1", ",", "val1"}], "}"}], "]"}], ";", 
        RowBox[{"If", "[", 
         RowBox[{
          RowBox[{"val1", ">", "0"}], ",", 
          RowBox[{
           RowBox[{"val2", "=", "val1"}], ";", 
           RowBox[{"tmp2", "=", "tmp1"}]}], ",", 
          RowBox[{
           RowBox[{"val0", "=", "val1"}], ";", 
           RowBox[{"tmp0", "=", "tmp1"}]}]}], "]"}]}]}], "]"}], ";", 
     "tmp0"}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.5315460606572733`*^9, 3.5315461041969495`*^9}, {
  3.5315462152067447`*^9, 3.531546217328348*^9}, {3.5315463673405313`*^9, 
  3.5315464101314063`*^9}, {3.5315464524230804`*^9, 3.53154653184282*^9}, {
  3.531546567941283*^9, 3.5315469392725897`*^9}, {3.5315469698486433`*^9, 
  3.53154706493081*^9}, {3.5315471033224773`*^9, 3.531547114336097*^9}, {
  3.5315487909569387`*^9, 3.5315487920645404`*^9}, {3.531548901077532*^9, 
  3.531548909158346*^9}, {3.531548986581282*^9, 3.531549009528922*^9}, {
  3.531549044753784*^9, 3.5315490983866787`*^9}, {3.5315493942723985`*^9, 
  3.531549419872043*^9}, {3.531549503004589*^9, 3.5315495076377974`*^9}, {
  3.5315495413182564`*^9, 3.5315496083203745`*^9}}],

Cell[BoxData[
 RowBox[{
  RowBox[{"Note", "=", 
   RowBox[{
    RowBox[{"I", " ", "have", " ", "to", " ", "use", " ", 
     RowBox[{"NIntegrate", "[", "...", "]"}]}], "-", 
    RowBox[{"2", "/", "3"}]}]}], ",", " ", 
  RowBox[{
  "the", " ", "NIntegrate", " ", "does", " ", "not", " ", "converge", " ", 
   "if", " ", "put", " ", 
   RowBox[{"2", "/", "3"}], " ", 
   RowBox[{"inside", ".", " "}]}]}]], "Input",
 CellChangeTimes->{{3.531549645404894*^9, 3.5315496994121885`*^9}},
 EmphasizeSyntaxErrors->True],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"NIntegrate", "[", 
  RowBox[{
   RowBox[{
    SuperscriptBox["x", "2"], " ", 
    RowBox[{"(", 
     RowBox[{"1", "-", 
      FractionBox[
       RowBox[{
        RowBox[{"-", "0.9`"}], "+", 
        SuperscriptBox["x", "2"]}], 
       SqrtBox[
        RowBox[{"0.01`", "\[VeryThinSpace]", "+", 
         SuperscriptBox[
          RowBox[{"(", 
           RowBox[{
            RowBox[{"-", "0.9`"}], "+", 
            SuperscriptBox["x", "2"]}], ")"}], "2"]}]]]}], ")"}]}], ",", 
   RowBox[{"{", 
    RowBox[{"x", ",", "0", ",", "Infinity"}], "}"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.5315460926841297`*^9, 3.531546093573331*^9}, {
  3.531549245728937*^9, 3.5315492600341625`*^9}, {3.5315493158354607`*^9, 
  3.531549385489583*^9}}],

Cell[BoxData["0.5817889502766391`"], "Output",
 CellChangeTimes->{
  3.531549260486563*^9, {3.5315493165686617`*^9, 3.531549386300784*^9}, 
   3.5315494243180513`*^9, 3.531770777702424*^9, 3.531772956509907*^9, 
   3.531773119881009*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"f1x", "=", 
   RowBox[{"(", 
    RowBox[{
     RowBox[{"f", "[", "x", "]"}], "/.", 
     RowBox[{"{", 
      RowBox[{"xmu2", "\[Rule]", 
       RowBox[{"-", "30.0"}]}], "}"}]}], ")"}]}], ";", 
  RowBox[{"NSolInt", "[", 
   RowBox[{"f1x", ",", "xdt2", ",", "5.0", ",", "20", ",", 
    RowBox[{"2", "/", "3"}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.531547121028509*^9, 3.5315471842242193`*^9}, {
   3.531548809349371*^9, 3.531548869175476*^9}, 3.531548931700386*^9, {
   3.531549430558062*^9, 3.5315494463452897`*^9}, {3.5317728144292583`*^9, 
   3.531772862641869*^9}, 3.531772894827108*^9, {3.53177292976963*^9, 
   3.531772929955247*^9}, {3.53177309456734*^9, 3.53177309473437*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  SuperscriptBox["x", "2"], " ", 
  RowBox[{"(", 
   RowBox[{"1", "-", 
    FractionBox[
     RowBox[{"30.`", "\[VeryThinSpace]", "+", 
      SuperscriptBox["x", "2"]}], 
     SqrtBox[
      RowBox[{"5.`", "\[VeryThinSpace]", "+", 
       SuperscriptBox[
        RowBox[{"(", 
         RowBox[{"30.`", "\[VeryThinSpace]", "+", 
          SuperscriptBox["x", "2"]}], ")"}], "2"]}]]]}], ")"}]}]], "Print",
 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.531773119918997*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"-", "0.3083693913839007`"}], ",", "0.7643040304815737`"}], 
  "}"}]], "Print",
 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.531773119923539*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"12.5`", ",", "0.22838128263837876`"}], "}"}]], "Print",
 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.531773119929541*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"8.75`", ",", 
   RowBox[{"-", "0.03989043687968452`"}]}], "}"}]], "Print",
 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.531773119934581*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"10.625`", ",", "0.09427149403143986`"}], "}"}]], "Print",
 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.5317731199381866`*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"9.6875`", ",", "0.027197167120205146`"}], "}"}]], "Print",
 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.5317731199419394`*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"9.21875`", ",", 
   RowBox[{"-", "0.0063447114833993234`"}]}], "}"}]], "Print",
 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.531773119946825*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"9.453125`", ",", "0.010426633761037474`"}], "}"}]], "Print",
 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.531773119951511*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"9.3359375`", ",", "0.0020409119396433972`"}], "}"}]], "Print",
 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.53177311995485*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"9.27734375`", ",", 
   RowBox[{"-", "0.0021521753480893135`"}]}], "}"}]], "Print",
 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.531773119958889*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"9.306640625`", ",", 
   RowBox[{"-", "0.0000553240842330327`"}]}], "}"}]], "Print",
 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.531773119962881*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"9.3212890625`", ",", "0.0009929454537154214`"}], "}"}]], "Print",
 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.531773120001762*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"9.31396484375`", ",", "0.0004683591738831039`"}], "}"}]], "Print",
 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.531773120005539*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"9.310302734375`", ",", "0.00020636730326373254`"}], "}"}]], "Print",\

 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.531773120009756*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"9.3084716796875`", ",", "0.00007567192146773483`"}], 
  "}"}]], "Print",
 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.531773120015121*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"9.30755615234375`", ",", "0.00001017458583763009`"}], 
  "}"}]], "Print",
 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.5317731200196047`*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"9.307098388671875`", ",", 
   RowBox[{"-", "0.000022575772623878443`"}]}], "}"}]], "Print",
 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.531773120024057*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"9.307327270507812`", ",", 
   RowBox[{"-", "6.501154490967664`*^-6"}]}], "}"}]], "Print",
 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.531773120027028*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"9.307441711425781`", ",", "2.136985770895272`*^-6"}], 
  "}"}]], "Print",
 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.53177312003013*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"9.307384490966797`", ",", 
   RowBox[{"-", "2.4836819974005664`*^-6"}]}], "}"}]], "Print",
 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.531773120033057*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"9.307413101196289`", ",", 
   RowBox[{"-", "4.7363168553804513`*^-7"}]}], "}"}]], "Print",
 CellChangeTimes->{{3.5315495839999313`*^9, 3.531549611768019*^9}, 
   3.531770777816968*^9, {3.531772837642305*^9, 3.531772863029607*^9}, 
   3.531772895591628*^9, {3.5317729305417347`*^9, 3.5317729565456457`*^9}, {
   3.531773095461995*^9, 3.531773120035954*^9}}]
}, Open  ]],

Cell[BoxData["9.307413101196289`"], "Output",
 CellChangeTimes->{{3.531549569320306*^9, 3.5315496119010267`*^9}, 
   3.531770777875566*^9, {3.5317728377736063`*^9, 3.531772863178522*^9}, 
   3.5317728957371807`*^9, {3.531772930666366*^9, 3.53177295664093*^9}, {
   3.531773095578746*^9, 3.5317731200390863`*^9}}],

Cell[BoxData[
 RowBox[{
  StyleBox[
   RowBox[{"NIntegrate", "::", "ncvb"}], "MessageName"], 
  RowBox[{
  ":", " "}], "\<\"NIntegrate failed to converge to prescribed accuracy after \
\[NoBreak]\\!\\(9\\)\[NoBreak] recursive bisections in \[NoBreak]\\!\\(x\\)\
\[NoBreak] near \[NoBreak]\\!\\({x}\\)\[NoBreak] = \
\[NoBreak]\\!\\({6.3886967935314255`*^56}\\)\[NoBreak]. NIntegrate obtained \
\[NoBreak]\\!\\(5.663122101863457`15.954589770191005*^321\\)\[NoBreak] and \
\[NoBreak]\\!\\(5.721437906361399`15.954589770191005*^321\\)\[NoBreak] for \
the integral and error estimates. \
\\!\\(\\*ButtonBox[\\\"\[RightSkeleton]\\\", ButtonStyle->\\\"Link\\\", \
ButtonFrame->None, ButtonData:>\\\"paclet:ref/message/NIntegrate/ncvb\\\", \
ButtonNote -> \\\"NIntegrate::ncvb\\\"]\\)\"\>"}]], "Message", "MSG",
 GeneratedCell->False,
 CellAutoOverwrite->False,
 CellChangeTimes->{{3.5315471382353387`*^9, 3.5315471854254217`*^9}, 
   3.531547362196307*^9, 3.531548547986112*^9, {3.5315488233581953`*^9, 
   3.5315488351050158`*^9}, 3.531548870719879*^9, {3.5315489139475546`*^9, 
   3.531548932573987*^9}, 3.5315490148485317`*^9}],

Cell[BoxData[
 RowBox[{
  StyleBox[
   RowBox[{"NIntegrate", "::", "slwcon"}], "MessageName"], 
  RowBox[{
  ":", " "}], "\<\"Numerical integration converging too slowly; suspect one \
of the following: singularity, value of the integration is 0, highly \
oscillatory integrand, or WorkingPrecision too small. \\!\\(\\*ButtonBox[\\\"\
\[RightSkeleton]\\\", ButtonStyle->\\\"Link\\\", ButtonFrame->None, \
ButtonData:>\\\"paclet:ref/message/NIntegrate/slwcon\\\", ButtonNote -> \
\\\"NIntegrate::slwcon\\\"]\\)\"\>"}]], "Message", "MSG",
 GeneratedCell->False,
 CellAutoOverwrite->False,
 CellChangeTimes->{{3.5315471382353387`*^9, 3.5315471854254217`*^9}, 
   3.531547362196307*^9, 3.531548547986112*^9, {3.5315488233581953`*^9, 
   3.5315488351050158`*^9}, 3.531548870719879*^9, {3.5315489139475546`*^9, 
   3.531548932573987*^9}, 3.5315490148485317`*^9}],

Cell[BoxData[
 RowBox[{
  StyleBox[
   RowBox[{"NIntegrate", "::", "ncvb"}], "MessageName"], 
  RowBox[{
  ":", " "}], "\<\"NIntegrate failed to converge to prescribed accuracy after \
\[NoBreak]\\!\\(9\\)\[NoBreak] recursive bisections in \[NoBreak]\\!\\(x\\)\
\[NoBreak] near \[NoBreak]\\!\\({x}\\)\[NoBreak] = \
\[NoBreak]\\!\\({6.3886967935314255`*^56}\\)\[NoBreak]. NIntegrate obtained \
\[NoBreak]\\!\\(5.663122101863457`15.954589770191005*^321\\)\[NoBreak] and \
\[NoBreak]\\!\\(5.721437906361399`15.954589770191005*^321\\)\[NoBreak] for \
the integral and error estimates. \
\\!\\(\\*ButtonBox[\\\"\[RightSkeleton]\\\", ButtonStyle->\\\"Link\\\", \
ButtonFrame->None, ButtonData:>\\\"paclet:ref/message/NIntegrate/ncvb\\\", \
ButtonNote -> \\\"NIntegrate::ncvb\\\"]\\)\"\>"}]], "Message", "MSG",
 GeneratedCell->False,
 CellAutoOverwrite->False,
 CellChangeTimes->{{3.5315471382353387`*^9, 3.5315471854254217`*^9}, 
   3.531547362196307*^9, 3.531548547986112*^9, {3.5315488233581953`*^9, 
   3.5315488351050158`*^9}, 3.531548870719879*^9, {3.5315489139475546`*^9, 
   3.531548932573987*^9}, 3.5315490148329315`*^9}],

Cell[BoxData[
 RowBox[{
  StyleBox[
   RowBox[{"NIntegrate", "::", "slwcon"}], "MessageName"], 
  RowBox[{
  ":", " "}], "\<\"Numerical integration converging too slowly; suspect one \
of the following: singularity, value of the integration is 0, highly \
oscillatory integrand, or WorkingPrecision too small. \\!\\(\\*ButtonBox[\\\"\
\[RightSkeleton]\\\", ButtonStyle->\\\"Link\\\", ButtonFrame->None, \
ButtonData:>\\\"paclet:ref/message/NIntegrate/slwcon\\\", ButtonNote -> \
\\\"NIntegrate::slwcon\\\"]\\)\"\>"}]], "Message", "MSG",
 GeneratedCell->False,
 CellAutoOverwrite->False,
 CellChangeTimes->{{3.5315471382353387`*^9, 3.5315471854254217`*^9}, 
   3.531547362196307*^9, 3.531548547986112*^9, {3.5315488233581953`*^9, 
   3.5315488351050158`*^9}, 3.531548870719879*^9, {3.5315489139475546`*^9, 
   3.531548932573987*^9}, 3.531549014817332*^9}],

Cell[BoxData[
 RowBox[{
  StyleBox[
   RowBox[{"NIntegrate", "::", "ncvb"}], "MessageName"], 
  RowBox[{
  ":", " "}], "\<\"NIntegrate failed to converge to prescribed accuracy after \
\[NoBreak]\\!\\(9\\)\[NoBreak] recursive bisections in \[NoBreak]\\!\\(x\\)\
\[NoBreak] near \[NoBreak]\\!\\({x}\\)\[NoBreak] = \
\[NoBreak]\\!\\({6.3886967935314255`*^56}\\)\[NoBreak]. NIntegrate obtained \
\[NoBreak]\\!\\(5.663122101863457`15.954589770191005*^321\\)\[NoBreak] and \
\[NoBreak]\\!\\(5.721437906361399`15.954589770191005*^321\\)\[NoBreak] for \
the integral and error estimates. \
\\!\\(\\*ButtonBox[\\\"\[RightSkeleton]\\\", ButtonStyle->\\\"Link\\\", \
ButtonFrame->None, ButtonData:>\\\"paclet:ref/message/NIntegrate/ncvb\\\", \
ButtonNote -> \\\"NIntegrate::ncvb\\\"]\\)\"\>"}]], "Message", "MSG",
 GeneratedCell->False,
 CellAutoOverwrite->False,
 CellChangeTimes->{{3.5315471382353387`*^9, 3.5315471854254217`*^9}, 
   3.531547362196307*^9, 3.531548547986112*^9, {3.5315488233581953`*^9, 
   3.5315488351050158`*^9}, 3.531548870719879*^9, {3.5315489139475546`*^9, 
   3.531548932573987*^9}}],

Cell[BoxData[
 RowBox[{
  StyleBox[
   RowBox[{"NIntegrate", "::", "slwcon"}], "MessageName"], 
  RowBox[{
  ":", " "}], "\<\"Numerical integration converging too slowly; suspect one \
of the following: singularity, value of the integration is 0, highly \
oscillatory integrand, or WorkingPrecision too small. \\!\\(\\*ButtonBox[\\\"\
\[RightSkeleton]\\\", ButtonStyle->\\\"Link\\\", ButtonFrame->None, \
ButtonData:>\\\"paclet:ref/message/NIntegrate/slwcon\\\", ButtonNote -> \
\\\"NIntegrate::slwcon\\\"]\\)\"\>"}]], "Message", "MSG",
 GeneratedCell->False,
 CellAutoOverwrite->False,
 CellChangeTimes->{{3.5315471382353387`*^9, 3.5315471854254217`*^9}, 
   3.531547362196307*^9, 3.531548547986112*^9, {3.5315488233581953`*^9, 
   3.5315488351050158`*^9}, 3.531548870719879*^9, {3.5315489139475546`*^9, 
   3.5315489325583873`*^9}}],

Cell[BoxData[
 RowBox[{
  StyleBox[
   RowBox[{"NIntegrate", "::", "ncvb"}], "MessageName"], 
  RowBox[{
  ":", " "}], "\<\"NIntegrate failed to converge to prescribed accuracy after \
\[NoBreak]\\!\\(9\\)\[NoBreak] recursive bisections in \[NoBreak]\\!\\(x\\)\
\[NoBreak] near \[NoBreak]\\!\\({x}\\)\[NoBreak] = \
\[NoBreak]\\!\\({6.3886967935314255`*^56}\\)\[NoBreak]. NIntegrate obtained \
\[NoBreak]\\!\\(5.663122101863457`15.954589770191005*^321\\)\[NoBreak] and \
\[NoBreak]\\!\\(5.721437906361399`15.954589770191005*^321\\)\[NoBreak] for \
the integral and error estimates. \
\\!\\(\\*ButtonBox[\\\"\[RightSkeleton]\\\", ButtonStyle->\\\"Link\\\", \
ButtonFrame->None, ButtonData:>\\\"paclet:ref/message/NIntegrate/ncvb\\\", \
ButtonNote -> \\\"NIntegrate::ncvb\\\"]\\)\"\>"}]], "Message", "MSG",
 GeneratedCell->False,
 CellAutoOverwrite->False,
 CellChangeTimes->{{3.5315471382353387`*^9, 3.5315471854254217`*^9}, 
   3.531547362196307*^9, 3.531548547986112*^9, {3.5315488233581953`*^9, 
   3.5315488351050158`*^9}, 3.531548870719879*^9, {3.5315489139475546`*^9, 
   3.5315489325427876`*^9}}],

Cell[BoxData[
 RowBox[{
  StyleBox[
   RowBox[{"NIntegrate", "::", "slwcon"}], "MessageName"], 
  RowBox[{
  ":", " "}], "\<\"Numerical integration converging too slowly; suspect one \
of the following: singularity, value of the integration is 0, highly \
oscillatory integrand, or WorkingPrecision too small. \\!\\(\\*ButtonBox[\\\"\
\[RightSkeleton]\\\", ButtonStyle->\\\"Link\\\", ButtonFrame->None, \
ButtonData:>\\\"paclet:ref/message/NIntegrate/slwcon\\\", ButtonNote -> \
\\\"NIntegrate::slwcon\\\"]\\)\"\>"}]], "Message", "MSG",
 GeneratedCell->False,
 CellAutoOverwrite->False,
 CellChangeTimes->{{3.5315471382353387`*^9, 3.5315471854254217`*^9}, 
   3.531547362196307*^9, 3.531548547986112*^9, {3.5315488233581953`*^9, 
   3.5315488351050158`*^9}, 3.531548870719879*^9, {3.5315489139475546`*^9, 
   3.5315489325427876`*^9}}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Module", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"f1x", "=", 
      RowBox[{"(", 
       RowBox[{
        RowBox[{"f", "[", "x", "]"}], "/.", 
        RowBox[{"{", 
         RowBox[{"xmu2", "\[Rule]", "0.9"}], "}"}]}], ")"}]}], ",", 
     RowBox[{"tmp0", "=", "0.000001"}], ",", 
     RowBox[{"tmp2", "=", "1"}], ",", "tmp1", ",", 
     RowBox[{"val0", "=", 
      RowBox[{
       RowBox[{"NIntegrate", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"(", 
           RowBox[{
            RowBox[{"f", "[", "x", "]"}], "/.", 
            RowBox[{"{", 
             RowBox[{"xmu2", "\[Rule]", "0.9"}], "}"}]}], ")"}], "/.", 
          RowBox[{"{", 
           RowBox[{"xdt2", "\[Rule]", "0.0001"}], "}"}]}], ",", 
         RowBox[{"{", 
          RowBox[{"x", ",", "0", ",", "Infinity"}], "}"}]}], "]"}], "-", 
       RowBox[{"2", "/", "3"}]}]}], ",", "val1", ",", 
     RowBox[{"val2", "=", 
      RowBox[{
       RowBox[{"NIntegrate", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"(", 
           RowBox[{
            RowBox[{"f", "[", "x", "]"}], "/.", 
            RowBox[{"{", 
             RowBox[{"xmu2", "\[Rule]", "0.9"}], "}"}]}], ")"}], "/.", 
          RowBox[{"{", 
           RowBox[{"xdt2", "\[Rule]", "1"}], "}"}]}], ",", 
         RowBox[{"{", 
          RowBox[{"x", ",", "0", ",", "Infinity"}], "}"}]}], "]"}], "-", 
       RowBox[{"2", "/", "3"}]}]}]}], "}"}], ",", 
   RowBox[{
    RowBox[{"Print", "[", 
     RowBox[{"{", 
      RowBox[{"val0", ",", "val2"}], "}"}], "]"}], ";", 
    RowBox[{"While", "[", 
     RowBox[{
      RowBox[{
       RowBox[{"Abs", "[", "val0", "]"}], ">", "0.0000001"}], ",", 
      RowBox[{
       RowBox[{"tmp1", "=", 
        RowBox[{
         RowBox[{"(", 
          RowBox[{"tmp0", "+", "tmp2"}], ")"}], "/", "2"}]}], ";", 
       RowBox[{"val1", "=", 
        RowBox[{
         RowBox[{"NIntegrate", "[", 
          RowBox[{
           RowBox[{"f1x", "/.", 
            RowBox[{"{", 
             RowBox[{"xdt2", "\[Rule]", "tmp1"}], "}"}]}], ",", 
           RowBox[{"{", 
            RowBox[{"x", ",", "0", ",", "Infinity"}], "}"}]}], "]"}], "-", 
         RowBox[{"2", "/", "3"}]}]}], ";", 
       RowBox[{"Print", "[", 
        RowBox[{"{", 
         RowBox[{"tmp1", ",", "val1"}], "}"}], "]"}], ";", 
       RowBox[{"If", "[", 
        RowBox[{
         RowBox[{"val1", ">", "0"}], ",", 
         RowBox[{
          RowBox[{"val2", "=", "val1"}], ";", 
          RowBox[{"tmp2", "=", "tmp1"}]}], ",", 
         RowBox[{
          RowBox[{"val0", "=", "val1"}], ";", 
          RowBox[{"tmp0", "=", "tmp1"}]}]}], "]"}]}]}], "]"}], ";", 
    "tmp0"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.5315473848786044`*^9, 3.531547491480688*^9}, {
   3.531547592054065*^9, 3.531547677838616*^9}, {3.531547738195122*^9, 
   3.5315477601443605`*^9}, {3.5315480078117085`*^9, 3.5315480159237223`*^9}, 
   3.5315480473577776`*^9, {3.5315480784798326`*^9, 3.5315481128934927`*^9}, {
   3.531548148945156*^9, 3.5315481797864103`*^9}, {3.531548212406068*^9, 
   3.5315482861629972`*^9}, {3.531548352712714*^9, 3.531548353289915*^9}, 
   3.5315484022512016`*^9, {3.5315484371796627`*^9, 3.5315485185536604`*^9}, {
   3.5315485659421434`*^9, 3.5315487440944567`*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"-", "0.09727013887948965`"}], ",", "0.5404290514791611`"}], 
  "}"}]], "Print",
 CellChangeTimes->{{3.5315485580797296`*^9, 3.5315485958005958`*^9}, {
   3.5315486265014496`*^9, 3.5315486446598816`*^9}, {3.5315486930199666`*^9, 
   3.5315487452488585`*^9}, 3.531770777975939*^9, 3.531772956679502*^9, 
   3.531773120099308*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.5000005`", ",", "0.26817770111705785`"}], "}"}]], "Print",
 CellChangeTimes->{{3.5315485580797296`*^9, 3.5315485958005958`*^9}, {
   3.5315486265014496`*^9, 3.5315486446598816`*^9}, {3.5315486930199666`*^9, 
   3.5315487452488585`*^9}, 3.531770777975939*^9, 3.531772956679502*^9, 
   3.53177312010303*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.25000075`", ",", "0.10900463199790689`"}], "}"}]], "Print",
 CellChangeTimes->{{3.5315485580797296`*^9, 3.5315485958005958`*^9}, {
   3.5315486265014496`*^9, 3.5315486446598816`*^9}, {3.5315486930199666`*^9, 
   3.5315487452488585`*^9}, 3.531770777975939*^9, 3.531772956679502*^9, 
   3.531773120107368*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.12500087499999998`", ",", "0.01756204800069816`"}], 
  "}"}]], "Print",
 CellChangeTimes->{{3.5315485580797296`*^9, 3.5315485958005958`*^9}, {
   3.5315486265014496`*^9, 3.5315486446598816`*^9}, {3.5315486930199666`*^9, 
   3.5315487452488585`*^9}, 3.531770777975939*^9, 3.531772956679502*^9, 
   3.531773120151322*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.06250093749999999`", ",", 
   RowBox[{"-", "0.03410091051447428`"}]}], "}"}]], "Print",
 CellChangeTimes->{{3.5315485580797296`*^9, 3.5315485958005958`*^9}, {
   3.5315486265014496`*^9, 3.5315486446598816`*^9}, {3.5315486930199666`*^9, 
   3.5315487452488585`*^9}, 3.531770777975939*^9, 3.531772956679502*^9, 
   3.531773120155171*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.09375090624999999`", ",", 
   RowBox[{"-", "0.007543725949480828`"}]}], "}"}]], "Print",
 CellChangeTimes->{{3.5315485580797296`*^9, 3.5315485958005958`*^9}, {
   3.5315486265014496`*^9, 3.5315486446598816`*^9}, {3.5315486930199666`*^9, 
   3.5315487452488585`*^9}, 3.531770777975939*^9, 3.531772956679502*^9, 
   3.531773120158655*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.10937589062499999`", ",", "0.0051626456840101476`"}], 
  "}"}]], "Print",
 CellChangeTimes->{{3.5315485580797296`*^9, 3.5315485958005958`*^9}, {
   3.5315486265014496`*^9, 3.5315486446598816`*^9}, {3.5315486930199666`*^9, 
   3.5315487452488585`*^9}, 3.531770777975939*^9, 3.531772956679502*^9, 
   3.531773120164241*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.10156339843749998`", ",", 
   RowBox[{"-", "0.0011493303277916311`"}]}], "}"}]], "Print",
 CellChangeTimes->{{3.5315485580797296`*^9, 3.5315485958005958`*^9}, {
   3.5315486265014496`*^9, 3.5315486446598816`*^9}, {3.5315486930199666`*^9, 
   3.5315487452488585`*^9}, 3.531770777975939*^9, 3.531772956679502*^9, 
   3.531773120169017*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.10546964453124999`", ",", "0.0020165103715482635`"}], 
  "}"}]], "Print",
 CellChangeTimes->{{3.5315485580797296`*^9, 3.5315485958005958`*^9}, {
   3.5315486265014496`*^9, 3.5315486446598816`*^9}, {3.5315486930199666`*^9, 
   3.5315487452488585`*^9}, 3.531770777975939*^9, 3.531772956679502*^9, 
   3.531773120172372*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.10351652148437498`", ",", "0.0004361131335554047`"}], 
  "}"}]], "Print",
 CellChangeTimes->{{3.5315485580797296`*^9, 3.5315485958005958`*^9}, {
   3.5315486265014496`*^9, 3.5315486446598816`*^9}, {3.5315486930199666`*^9, 
   3.5315487452488585`*^9}, 3.531770777975939*^9, 3.531772956679502*^9, 
   3.531773120175845*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.10253995996093748`", ",", 
   RowBox[{"-", "0.0003559719781902615`"}]}], "}"}]], "Print",
 CellChangeTimes->{{3.5315485580797296`*^9, 3.5315485958005958`*^9}, {
   3.5315486265014496`*^9, 3.5315486446598816`*^9}, {3.5315486930199666`*^9, 
   3.5315487452488585`*^9}, 3.531770777975939*^9, 3.531772956679502*^9, 
   3.531773120179164*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.10302824072265623`", ",", "0.00004021008080368205`"}], 
  "}"}]], "Print",
 CellChangeTimes->{{3.5315485580797296`*^9, 3.5315485958005958`*^9}, {
   3.5315486265014496`*^9, 3.5315486446598816`*^9}, {3.5315486930199666`*^9, 
   3.5315487452488585`*^9}, 3.531770777975939*^9, 3.531772956679502*^9, 
   3.531773120183402*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.10278410034179686`", ",", 
   RowBox[{"-", "0.00015784117008654786`"}]}], "}"}]], "Print",
 CellChangeTimes->{{3.5315485580797296`*^9, 3.5315485958005958`*^9}, {
   3.5315486265014496`*^9, 3.5315486446598816`*^9}, {3.5315486930199666`*^9, 
   3.5315487452488585`*^9}, 3.531770777975939*^9, 3.531772956679502*^9, 
   3.5317731201882153`*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.10290617053222655`", ",", 
   RowBox[{"-", "0.00005882438216386898`"}]}], "}"}]], "Print",
 CellChangeTimes->{{3.5315485580797296`*^9, 3.5315485958005958`*^9}, {
   3.5315486265014496`*^9, 3.5315486446598816`*^9}, {3.5315486930199666`*^9, 
   3.5315487452488585`*^9}, 3.531770777975939*^9, 3.531772956679502*^9, 
   3.531773120192946*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.10296720562744138`", ",", 
   RowBox[{"-", "9.32350612670163`*^-6"}]}], "}"}]], "Print",
 CellChangeTimes->{{3.5315485580797296`*^9, 3.5315485958005958`*^9}, {
   3.5315486265014496`*^9, 3.5315486446598816`*^9}, {3.5315486930199666`*^9, 
   3.5315487452488585`*^9}, 3.531770777975939*^9, 3.531772956679502*^9, 
   3.531773120197728*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.10299772317504881`", ",", "0.000015462698079948822`"}], 
  "}"}]], "Print",
 CellChangeTimes->{{3.5315485580797296`*^9, 3.5315485958005958`*^9}, {
   3.5315486265014496`*^9, 3.5315486446598816`*^9}, {3.5315486930199666`*^9, 
   3.5315487452488585`*^9}, 3.531770777975939*^9, 3.531772956679502*^9, 
   3.5317731202013683`*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.10298246440124509`", ",", "3.0509606323558813`*^-6"}], 
  "}"}]], "Print",
 CellChangeTimes->{{3.5315485580797296`*^9, 3.5315485958005958`*^9}, {
   3.5315486265014496`*^9, 3.5315486446598816`*^9}, {3.5315486930199666`*^9, 
   3.5315487452488585`*^9}, 3.531770777975939*^9, 3.531772956679502*^9, 
   3.531773120204605*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.10297483501434324`", ",", 
   RowBox[{"-", "3.1174002527167843`*^-6"}]}], "}"}]], "Print",
 CellChangeTimes->{{3.5315485580797296`*^9, 3.5315485958005958`*^9}, {
   3.5315486265014496`*^9, 3.5315486446598816`*^9}, {3.5315486930199666`*^9, 
   3.5315487452488585`*^9}, 3.531770777975939*^9, 3.531772956679502*^9, 
   3.531773120239588*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.10297864970779416`", ",", 
   RowBox[{"-", "3.317182872830671`*^-8"}]}], "}"}]], "Print",
 CellChangeTimes->{{3.5315485580797296`*^9, 3.5315485958005958`*^9}, {
   3.5315486265014496`*^9, 3.5315486446598816`*^9}, {3.5315486930199666`*^9, 
   3.5315487452488585`*^9}, 3.531770777975939*^9, 3.531772956679502*^9, 
   3.531773120242839*^9}]
}, Open  ]],

Cell[BoxData["0.10297864970779416`"], "Output",
 CellChangeTimes->{{3.531548707044391*^9, 3.5315487453892584`*^9}, 
   3.5317707780514927`*^9, 3.531772956805697*^9, 3.531773120246562*^9}]
}, Open  ]],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.5315482225616856`*^9, 3.531548231968502*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"val0", "=", 
  RowBox[{
   RowBox[{"NIntegrate", "[", 
    RowBox[{
     RowBox[{
      RowBox[{"(", 
       RowBox[{
        RowBox[{"f", "[", "x", "]"}], "/.", 
        RowBox[{"{", 
         RowBox[{"xmu2", "\[Rule]", "0.9"}], "}"}]}], ")"}], "/.", 
      RowBox[{"{", 
       RowBox[{"xdt2", "\[Rule]", "1"}], "}"}]}], ",", 
     RowBox[{"{", 
      RowBox[{"x", ",", "0", ",", "Infinity"}], "}"}]}], "]"}], "-", 
   RowBox[{"2", "/", "3"}]}]}]], "Input",
 CellChangeTimes->{{3.531547718929088*^9, 3.531547770783579*^9}, {
  3.531547850547832*^9, 3.531547926566766*^9}, {3.531547979950059*^9, 
  3.53154799731289*^9}}],

Cell[BoxData["0.5404290514791611`"], "Output",
 CellChangeTimes->{{3.53154770300146*^9, 3.5315477716259804`*^9}, {
   3.531547851717834*^9, 3.531547927299967*^9}, {3.5315479867204714`*^9, 
   3.5315479982800913`*^9}, 3.531770778169182*^9, 3.531772956875436*^9, 
   3.531773120314499*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"weight", "/.", 
  RowBox[{"{", 
   RowBox[{"dtt", "\[Rule]", "0.001"}], "}"}]}]], "Input",
 CellChangeTimes->{{3.531772489520887*^9, 3.531772504370656*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
  "0.9999736482989192`", ",", "0.9996838971813016`", ",", 
   "0.996082972386377`", ",", "0.9868917354933777`", ",", 
   "0.9771294183305255`", ",", "0.9721579972448405`", ",", 
   "0.9671601140506055`", ",", "0.952148102527909`", ",", 
   "0.9040121672212047`", ",", "0.8608586243087645`", ",", 
   "0.8223447670629989`", ",", "0.7887131990467791`", ",", 
   "0.7330530267941241`", ",", "0.6889873517555937`", ",", 
   "0.6707264877066863`", ",", "0.6543129276644456`", ",", 
   "0.6252180207977502`", ",", "0.6012239449320068`", ",", 
   "0.580672889195874`", ",", "0.56190939790978`", ",", "0.5548870094436634`",
    ",", "0.5208639108394415`", ",", "0.4949958721094065`", ",", 
   "0.4740186846412738`", ",", "0.45686579500381164`", ",", 
   "0.42855667949627274`", ",", "0.40684843689976424`", ",", 
   "0.3895562870336412`", ",", "0.3618263974018139`", ",", 
   "0.3420612390981767`", ",", "0.30673537253663863`", ",", 
   "0.2831526556191243`", ",", "0.25214857772947646`"}], "}"}]], "Output",
 CellChangeTimes->{{3.5317724928033457`*^9, 3.5317725051741323`*^9}, 
   3.5317729569128237`*^9, 3.5317731203555727`*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"dtL", "*", "weight"}], "/.", 
  RowBox[{"{", 
   RowBox[{"dtt", "\[Rule]", "0.001"}], "}"}]}]], "Input",
 CellChangeTimes->{{3.531773001895327*^9, 3.53177302744357*^9}, 
   3.53177305770083*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
  "0.007302810360518086`", ",", "0.025290224442291946`", ",", 
   "0.08890563665977948`", ",", "0.16207484735325003`", ",", 
   "0.21328812636882674`", ",", "0.23488244570198608`", ",", 
   "0.25460405042781226`", ",", "0.3055490586174491`", ",", 
   "0.4245008582626394`", ",", "0.501962522660711`", ",", 
   "0.5577716682183749`", ",", "0.599110616223998`", ",", 
   "0.6558674221545597`", ",", "0.6924237189669183`", ",", 
   "0.705698619519453`", ",", "0.7167639002981258`", ",", 
   "0.7344648742259587`", ",", "0.747309513105239`", ",", 
   "0.7571048191763426`", ",", "0.7651052122980215`", ",", 
   "0.767872203607131`", ",", "0.779557719798544`", ",", 
   "0.7865607454917347`", ",", "0.7910575148423065`", ",", 
   "0.7939481034842792`", ",", "0.7971615038945457`", ",", 
   "0.7982942783459985`", ",", "0.7983528187607495`", ",", 
   "0.7968399826849557`", ",", "0.7945104049210339`", ",", 
   "0.7875994411684792`", ",", "0.7808855376477307`", ",", 
   "0.7692391508308953`"}], "}"}]], "Output",
 CellChangeTimes->{{3.531773010845707*^9, 3.5317730278553743`*^9}, 
   3.5317730581786633`*^9, 3.531773120388363*^9}]
}, Open  ]]
},
WindowSize->{1553, 987},
WindowMargins->{{0, Automatic}, {Automatic, 0}},
FrontEndVersion->"8.0 for Mac OS X x86 (32-bit, 64-bit Kernel) (November 6, \
2010)",
StyleDefinitions->"Default.nb"
]
(* End of Notebook Content *)

(* Internal cache information *)
(*CellTagsOutline
CellTagsIndex->{}
*)
(*CellTagsIndex
CellTagsIndex->{}
*)
(*NotebookFileOutline
Notebook[{
Cell[557, 20, 799, 25, 27, "Input"],
Cell[CellGroupData[{
Cell[1381, 49, 122, 2, 27, "Input"],
Cell[1506, 53, 720, 19, 94, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[2263, 77, 401, 11, 27, "Input"],
Cell[2667, 90, 473, 6, 27, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[3177, 101, 120, 2, 27, "Input"],
Cell[3300, 105, 387, 5, 27, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[3724, 115, 756, 19, 27, "Input"],
Cell[4483, 136, 1226, 20, 53, "Message"],
Cell[5712, 158, 1004, 17, 23, "Message"],
Cell[6719, 177, 582, 9, 27, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[7338, 191, 1656, 32, 27, "Input"],
Cell[8997, 225, 2679, 47, 197, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[11713, 277, 188, 5, 27, "Input"],
Cell[11904, 284, 393, 5, 27, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[12334, 294, 389, 11, 27, "Input"],
Cell[12726, 307, 5750, 100, 244, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[18513, 412, 3783, 102, 58, "Input"],
Cell[22299, 516, 3312, 96, 58, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[25648, 617, 231, 4, 27, "Input"],
Cell[25882, 623, 1216, 24, 245, "Output"]
}, Open  ]],
Cell[27113, 650, 511, 17, 27, "Input"],
Cell[CellGroupData[{
Cell[27649, 671, 121, 2, 27, "Input"],
Cell[27773, 675, 623, 16, 75, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[28433, 696, 310, 8, 27, "Input"],
Cell[28746, 706, 1288, 38, 94, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[30071, 749, 1307, 35, 58, "Input"],
Cell[31381, 786, 893, 16, 23, "Message"]
}, Open  ]],
Cell[CellGroupData[{
Cell[32311, 807, 146, 2, 27, "Input"],
Cell[32460, 811, 1779, 35, 43, "Output"]
}, Open  ]],
Cell[34254, 849, 94, 1, 27, "Input"],
Cell[34351, 852, 488, 14, 27, "Input"],
Cell[CellGroupData[{
Cell[34864, 870, 99, 1, 27, "Input"],
Cell[34966, 873, 1165, 28, 27, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[36168, 906, 232, 5, 27, "Input"],
Cell[36403, 913, 3999, 116, 58, "Output"]
}, Open  ]],
Cell[40417, 1032, 92, 1, 27, "Input"],
Cell[CellGroupData[{
Cell[40534, 1037, 728, 14, 27, "Input"],
Cell[41265, 1053, 1738, 33, 238, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[43040, 1091, 600, 12, 27, "Input"],
Cell[43643, 1105, 18528, 309, 247, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[62208, 1419, 868, 21, 27, "Input"],
Cell[63079, 1442, 19115, 322, 226, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[82231, 1769, 16619, 311, 610, "Input"],
Cell[98853, 2082, 16033, 289, 567, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[114923, 2376, 751, 19, 27, "Input"],
Cell[115677, 2397, 2623, 74, 94, "Output"]
}, Open  ]],
Cell[118315, 2474, 539, 7, 27, "Input"],
Cell[118857, 2483, 92, 1, 27, "Input"],
Cell[118952, 2486, 1642, 45, 43, "Input"],
Cell[CellGroupData[{
Cell[120619, 2535, 505, 13, 27, "Input"],
Cell[121127, 2550, 1874, 36, 43, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[123038, 2591, 4759, 118, 118, "Input"],
Cell[127800, 2711, 58036, 964, 622, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[185873, 3680, 451, 11, 27, "Input"],
Cell[186327, 3693, 729, 15, 240, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[187093, 3713, 345, 9, 27, "Input"],
Cell[187441, 3724, 1428, 30, 240, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[188906, 3759, 462, 13, 27, "Input"],
Cell[189371, 3774, 1446, 30, 240, "Output"]
}, Open  ]],
Cell[190832, 3807, 3209, 90, 51, "Input"],
Cell[CellGroupData[{
Cell[194066, 3901, 3613, 92, 88, "Input"],
Cell[197682, 3995, 54726, 908, 638, "Output"]
}, Open  ]],
Cell[252423, 4906, 57945, 1055, 585, "Input"],
Cell[310371, 5963, 145, 2, 27, "Input"],
Cell[CellGroupData[{
Cell[310541, 5969, 55668, 998, 583, "Input"],
Cell[366212, 6969, 55477, 993, 583, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[421726, 7967, 85, 1, 27, "Input"],
Cell[421814, 7970, 181, 2, 27, "Output"]
}, Open  ]],
Cell[422010, 7975, 50188, 874, 548, "Input"],
Cell[472201, 8851, 415, 6, 27, "Input"],
Cell[CellGroupData[{
Cell[472641, 8861, 616, 18, 27, "Input"],
Cell[473260, 8881, 39653, 700, 240, "Output"]
}, Open  ]],
Cell[512928, 9584, 49219, 902, 518, "Input"],
Cell[CellGroupData[{
Cell[562172, 10490, 44280, 766, 516, "Input"],
Cell[606455, 11258, 44562, 774, 516, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[651054, 12037, 59581, 1015, 536, "Input"],
Cell[710638, 13054, 59790, 1022, 536, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[770465, 14081, 15397, 283, 69, "Input"],
Cell[785865, 14366, 15066, 266, 251, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[800968, 14637, 146, 3, 27, "Input"],
Cell[801117, 14642, 434, 7, 27, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[801588, 14654, 131, 2, 27, "Input"],
Cell[801722, 14658, 397, 6, 27, "Output"]
}, Open  ]],
Cell[802134, 14667, 186, 5, 27, "Input"],
Cell[CellGroupData[{
Cell[802345, 14676, 2036, 55, 58, "Input"],
Cell[804384, 14733, 2437, 40, 129, "Message"],
Cell[806824, 14775, 37111, 617, 240, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[843972, 15397, 342, 10, 43, "Input"],
Cell[844317, 15409, 4001, 113, 73, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[848355, 15527, 235, 5, 27, "Input"],
Cell[848593, 15534, 1390, 24, 43, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[850020, 15563, 97, 1, 27, "Input"],
Cell[850120, 15566, 6962, 238, 170, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[857119, 15809, 179, 4, 27, "Input"],
Cell[857301, 15815, 1267, 21, 43, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[858605, 15841, 98, 1, 27, "Input"],
Cell[858706, 15844, 2499, 73, 94, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[861242, 15922, 95, 1, 27, "Input"],
Cell[861340, 15925, 1333, 23, 43, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[862710, 15953, 204, 5, 27, "Input"],
Cell[862917, 15960, 1344, 24, 43, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[864298, 15989, 325, 10, 43, "Input"],
Cell[864626, 16001, 3983, 117, 73, "Output"]
}, Open  ]],
Cell[868624, 16121, 96, 1, 27, "Input"],
Cell[868723, 16124, 1652, 54, 27, "Input"],
Cell[870378, 16180, 2304, 60, 73, "Input"],
Cell[CellGroupData[{
Cell[872707, 16244, 148, 2, 27, "Input"],
Cell[872858, 16248, 1302, 22, 43, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[874197, 16275, 100, 1, 27, "Input"],
Cell[874300, 16278, 1204, 20, 43, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[875541, 16303, 125, 2, 27, "Input"],
Cell[875669, 16307, 1203, 21, 43, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[876909, 16333, 122, 2, 27, "Input"],
Cell[877034, 16337, 789, 27, 76, "Output"]
}, Open  ]],
Cell[877838, 16367, 3197, 81, 73, "Input"],
Cell[881038, 16450, 509, 13, 27, "Input"],
Cell[CellGroupData[{
Cell[881572, 16467, 762, 22, 94, "Input"],
Cell[882337, 16491, 237, 4, 27, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[882611, 16500, 723, 16, 27, "Input"],
Cell[CellGroupData[{
Cell[883359, 16520, 693, 17, 87, "Print"],
Cell[884055, 16539, 396, 8, 20, "Print"],
Cell[884454, 16549, 361, 6, 20, "Print"],
Cell[884818, 16557, 380, 7, 20, "Print"],
Cell[885201, 16566, 365, 6, 20, "Print"],
Cell[885569, 16574, 366, 6, 20, "Print"],
Cell[885938, 16582, 385, 7, 20, "Print"],
Cell[886326, 16591, 366, 6, 20, "Print"],
Cell[886695, 16599, 367, 6, 20, "Print"],
Cell[887065, 16607, 388, 7, 20, "Print"],
Cell[887456, 16616, 389, 7, 20, "Print"],
Cell[887848, 16625, 371, 6, 20, "Print"],
Cell[888222, 16633, 372, 6, 20, "Print"],
Cell[888597, 16641, 376, 7, 20, "Print"],
Cell[888976, 16650, 378, 7, 20, "Print"],
Cell[889357, 16659, 381, 7, 20, "Print"],
Cell[889741, 16668, 397, 7, 20, "Print"],
Cell[890141, 16677, 395, 7, 26, "Print"],
Cell[890539, 16686, 378, 7, 26, "Print"],
Cell[890920, 16695, 396, 7, 26, "Print"],
Cell[891319, 16704, 396, 7, 26, "Print"]
}, Open  ]],
Cell[891730, 16714, 312, 4, 27, "Output"],
Cell[892045, 16720, 1123, 20, 48, "Message"],
Cell[893171, 16742, 856, 16, 23, "Message"],
Cell[894030, 16760, 1123, 20, 48, "Message"],
Cell[895156, 16782, 854, 16, 23, "Message"],
Cell[896013, 16800, 1099, 20, 48, "Message"],
Cell[897115, 16822, 834, 16, 23, "Message"],
Cell[897952, 16840, 1101, 20, 48, "Message"],
Cell[899056, 16862, 834, 16, 23, "Message"]
}, Open  ]],
Cell[CellGroupData[{
Cell[899927, 16883, 3276, 86, 73, "Input"],
Cell[CellGroupData[{
Cell[903228, 16973, 379, 8, 20, "Print"],
Cell[903610, 16983, 347, 6, 20, "Print"],
Cell[903960, 16991, 349, 6, 20, "Print"],
Cell[904312, 16999, 361, 7, 20, "Print"],
Cell[904676, 17008, 377, 7, 20, "Print"],
Cell[905056, 17017, 378, 7, 20, "Print"],
Cell[905437, 17026, 363, 7, 20, "Print"],
Cell[905803, 17035, 379, 7, 20, "Print"],
Cell[906185, 17044, 363, 7, 20, "Print"],
Cell[906551, 17053, 363, 7, 20, "Print"],
Cell[906917, 17062, 379, 7, 20, "Print"],
Cell[907299, 17071, 364, 7, 20, "Print"],
Cell[907666, 17080, 382, 7, 20, "Print"],
Cell[908051, 17089, 380, 7, 20, "Print"],
Cell[908434, 17098, 378, 7, 26, "Print"],
Cell[908815, 17107, 367, 7, 20, "Print"],
Cell[909185, 17116, 364, 7, 26, "Print"],
Cell[909552, 17125, 380, 7, 26, "Print"],
Cell[909935, 17134, 379, 7, 26, "Print"]
}, Open  ]],
Cell[910329, 17144, 187, 2, 27, "Output"]
}, Open  ]],
Cell[910531, 17149, 94, 1, 27, "Input"],
Cell[CellGroupData[{
Cell[910650, 17154, 646, 18, 27, "Input"],
Cell[911299, 17174, 287, 4, 27, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[911623, 17183, 180, 4, 27, "Input"],
Cell[911806, 17189, 1162, 20, 43, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[913005, 17214, 229, 6, 27, "Input"],
Cell[913237, 17222, 1165, 21, 43, "Output"]
}, Open  ]]
}
]
*)

(* End of internal cache information *)
